{
 "metadata": {
  "signature": "sha256:6a0d87c0286ee4da39c6ff0e5eee67a824a84cefe7a7f6023b9ceef3114d20bb"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "id": "2FBA8A8E7DEE45549E8250300270B248",
     "metadata": {},
     "source": [
      "6.6.1  \u57fa\u4e8e\u6743\u91cd\u4f18\u5316\u7684Smart Beta\n",
      "--------------------"
     ]
    },
    {
     "cell_type": "markdown",
     "id": "A5F232153F5244818FD978C89C427269",
     "metadata": {},
     "source": [
      "\u5b9a\u4e49\u7814\u7a76\u8fc7\u7a0b\u4e2d\u5e38\u7528\u7684\u7528\u4e8e\u8bfb\u53d6\u6570\u636e\u3001\u9884\u5904\u7406\u6570\u636e\u4ee5\u53ca\u672c\u6587\u4e2d\u6295\u8d44\u7ec4\u5408\u6743\u91cd\u6700\u4f18\u5316\u7684\u76f8\u5173\u51fd\u6570"
     ]
    },
    {
     "cell_type": "strategy",
     "collapsed": false,
     "id": "CFE99BC06B3D4595AA29303F087814B2",
     "input": "import numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nsns.set_style('white')\nfrom scipy.optimize import minimize\nfrom cvxopt import matrix, solvers\nfrom datetime import datetime as dt\n\nfrom CAL.PyCAL import font\n\ndef get_covmat(tickers, date, periods):\n    '''\n    \u8f93\u5165tickers + \u65e5\u671f + \u8fc7\u53bb\u5929\u6570\uff0c\u83b7\u5f97\u4ee5\u6b64\u8ba1\u7b97\u51fa\u6765\u7684\u5e74\u5316\u534f\u65b9\u5dee\u77e9\u9635\n    '''\n    start_date = shift_date(date, periods)\n    return_mat=DataAPI.MktEqudAdjGet(ticker=tickers, beginDate=start_date, endDate=date, field=u\"ticker,tradeDate,closePrice\", pandas=\"1\")\n    return_mat = return_mat.pivot(index='tradeDate',columns='ticker', values='closePrice').pct_change().fillna(0.0)\n    return return_mat.cov()*250\n\n    \ndef get_smart_weight(cov_mat, method='min variance', wts_adjusted=False):\n    '''\n    \u529f\u80fd\uff1a\u8f93\u5165\u534f\u65b9\u5dee\u77e9\u9635\uff0c\u5f97\u5230\u4e0d\u540c\u4f18\u5316\u65b9\u6cd5\u4e0b\u7684\u6743\u91cd\u914d\u7f6e\n    \u8f93\u5165\uff1a\n        cov_mat  pd.DataFrame,\u534f\u65b9\u5dee\u77e9\u9635\uff0cindex\u548ccolumn\u5747\u4e3a\u8d44\u4ea7\u540d\u79f0\n        method  \u4f18\u5316\u65b9\u6cd5\uff0c\u53ef\u9009\u7684\u6709min variance\u3001risk parity\u3001max diversification\u3001equal weight\n    \u8f93\u51fa\uff1a\n        pd.Series  index\u4e3a\u8d44\u4ea7\u540d\uff0cvalues\u4e3aweight\n    PS:\n        \u4f9d\u8d56scipy package\n    '''\n    \n    if not isinstance(cov_mat, pd.DataFrame):\n        raise ValueError('cov_mat should be pandas DataFrame\uff01')\n        \n    omega = np.matrix(cov_mat.values)  # \u534f\u65b9\u5dee\u77e9\u9635\n    \n    # \u5b9a\u4e49\u76ee\u6807\u51fd\u6570\n    def fun1(x):\n        return np.matrix(x) * omega * np.matrix(x).T\n    \n    def fun2(x):\n        tmp = (omega * np.matrix(x).T).A1\n        risk = x * tmp\n        delta_risk = [sum((i - risk)**2) for i in risk]\n        return sum(delta_risk)\n    \n    def fun3(x):\n        den = x * omega.diagonal().T\n        num = np.sqrt(np.matrix(x) * omega * np.matrix(x).T)\n        return num/den\n    \n    # \u521d\u59cb\u503c + \u7ea6\u675f\u6761\u4ef6 \n    x0 = np.ones(omega.shape[0]) / omega.shape[0]  \n    bnds = tuple((0,None) for x in x0)\n    cons = ({'type':'eq', 'fun': lambda x: sum(x) - 1})\n    options={'disp':False, 'maxiter':1000, 'ftol':1e-20}\n        \n    if method == 'min variance':   \n        res = minimize(fun1, x0, bounds=bnds, constraints=cons, method='SLSQP', options=options) \n    elif method == 'risk parity':\n        res = minimize(fun2, x0, bounds=bnds, constraints=cons, method='SLSQP', options=options)\n    elif method == 'max diversification':\n        res = minimize(fun3, x0, bounds=bnds, constraints=cons, method='SLSQP', options=options)\n    elif method == 'equal weight':\n        return pd.Series(index=cov_mat.index, data=1.0 / cov_mat.shape[0])\n    else:\n        raise ValueError('method should be min variance/risk parity/max diversification/equal weight\uff01\uff01\uff01')\n        \n    # \u6743\u91cd\u8c03\u6574\n    if res['success'] == False:\n        # print res['message']\n        pass\n    wts = pd.Series(index=cov_mat.index, data=res['x'])\n    if wts_adjusted == True:\n        wts = wts[wts >= 0.0001]\n        return wts / wts.sum() * 1.0\n    elif wts_adjusted == False:\n        return wts\n    else:\n        raise ValueError('wts_adjusted should be True/False\uff01')\n        \n        \ndef get_idx_cons(idx, date):\n    '''\n    \u529f\u80fd\uff1a\u83b7\u53d6\u6307\u6570\u5728\u67d0\u4e00\u5929\u7684\u6210\u5206\u80a1\u5217\u8868\n    \u8f93\u5165\uff1a\n        idx \u6307\u6570\uff0cxxxxxx\u578bstring\uff0c000300\u6caa\u6df1300\uff0c000016\u4e0a\u8bc150\uff0c000905\u4e2d\u8bc1500\uff0c000906\u4e2d\u8bc1800\uff0c000001\u4e0a\u8bc1\u7efc\u6307\n              \u53ef\u4ee5\u4e3a\u591a\u4e2a\u6307\u6570\u7ec4\u5408\uff0c\u5199\u6cd5\u4e3a['xxxxxx','xxxxxx']\uff0c\u6b64\u65f6\u8fd4\u56de\u7684\u7ed3\u679c\u5df2\u7ecf\u53bb\u9664\u91cd\u590d\u7684ticker\u4e86\uff01\uff01\uff01\n        date yyyymmdd\u578bstring\n    \u8f93\u51fa\uff1a\n        list of tickers\n    \u4f9d\u8d56\uff1a\n        DataAPI\uff1aIdxConsGet\n    '''\n    \n    try:\n        data = DataAPI.IdxConsGet(ticker=idx,intoDate=date,field='',pandas=\"1\")['consTickerSymbol']\n    except:\n        raise ValueError('DataAPI.IdxConsGet\u51fa\u9519\u4e86\uff01\uff01\uff01')\n\n    return list(set(data))\n\ndef get_dates(start_date, end_date, frequency='daily'):\n    '''\n    \u529f\u80fd\uff1a\u8f93\u5165\u8d77\u59cb\u65e5\u671f\u548c\u9891\u7387\uff0c\u5373\u53ef\u83b7\u5f97\u65e5\u671f\u5217\u8868\uff08daily\u5305\u62ec\u8d77\u59cb\u65e5\uff0c\u5176\u4f59\u7684\u90fd\u662f\u4f4d\u4e8e\u8d77\u59cb\u65e5\u4e2d\u95f4\u7684\uff09\n    \u8f93\u5165\u53c2\u6570\uff1a\n       start_date\uff0c\u5f00\u59cb\u65e5\u671f\uff0c'xxxxxxxx'\u5f62\u5f0f\n       end_date\uff0c\u622a\u6b62\u65e5\u671f\uff0c'xxxxxxxx'\u5f62\u5f0f\n       frequency\uff0c\u9891\u7387\uff0cdaily\u4e3a\u6240\u6709\u4ea4\u6613\u65e5\uff0cdaily1\u4e3a\u6240\u6709\u81ea\u7136\u65e5\uff0cweekly\u4e3a\u6bcf\u5468\u6700\u540e\u4e00\u4e2a\u4ea4\u6613\u65e5\uff0cweekly2\u4e3a\u6bcf\u9694\u4e24\u5468\uff0cmonthly\u4e3a\u6bcf\u6708\u6700\u540e\u4e00\u4e2a\u4ea4\u6613\u65e5\uff0cquarterly\u4e3a\u6bcf\u5b63\u6700\u540e\u4e00\u4e2a\u4ea4\u6613\u65e5\n    \u8f93\u51fa\u53c2\u6570\uff1a\n       \u83b7\u5f97list\u578b\u65e5\u671f\u5217\u8868\uff0c\u4ee5'xxxxxxxx'\u5f62\u5f0f\u5b58\u50a8\n    PS:\n        \u8981\u7528\u5230DataAPI.TradeCalGet\uff01\uff01\uff01\n    '''\n    \n    data = DataAPI.TradeCalGet(exchangeCD=u\"XSHG\",beginDate=start_date,endDate=end_date,field=u\"calendarDate,isOpen,isWeekEnd,isMonthEnd,isQuarterEnd\",pandas=\"1\")\n    if frequency == 'daily':\n        data = data[data['isOpen'] == 1]\n    elif frequency == 'daily1':\n        pass\n    elif frequency == 'weekly':\n        data = data[data['isWeekEnd'] == 1]\n    elif frequency == 'weekly2':\n        data = data[data['isWeekEnd'] == 1]\n        data = data[0:data.shape[0]:2]\n    elif frequency == 'monthly':\n        data = data[data['isMonthEnd'] == 1]\n    elif frequency == 'quarterly':\n        data = data[data['isQuarterEnd'] == 1]\n    else:\n        raise ValueError('\u8c03\u4ed3\u9891\u7387\u5fc5\u987b\u4e3adaily/daily1/weekly/weekly2/monthly/quarterly\uff01\uff01\uff01')\n    # date_list = map(lambda x: x[0:4]+x[5:7]+x[8:10], data['calendarDate'].values.tolist())\n    date_list = data['calendarDate'].values.tolist()\n    return date_list\n\n\ndef shift_date(date, n, direction='back'): \n    '''\n    \u529f\u80fd\uff1a\u7ed9\u5b9adate\uff0c\u83b7\u53d6\u8be5\u65e5\u671f\u524d/\u540en\u4e2a\u4ea4\u6613\u65e5\u5bf9\u5e94\u7684\u4ea4\u6613\u65e5\n    \u8f93\u5165\uff1a\n        date  'yyyymmdd'\u7c7b\u578b\u5b57\u7b26\u4e32\n        n  \u975e\u8d1f\u6574\u6570\uff0c\u53d6\u503c\u533a\u95f4\uff080,720\uff09\n        direction  \u65b9\u5411\uff0c\u53d6\u503c\u4e3aback/forward\n    PS\uff1a\n        get_dates()\n    '''\n    \n    last_two_year = str(int(date[:4])-3) + '0101'\n    forward_two_year = str(int(date[:4])+3) + '1231'\n    if direction == 'back':\n        date_list = get_dates(last_two_year, date, 'daily')\n        return date_list[len(date_list)-1-n]\n    elif direction == 'forward':\n        date_list = get_dates(date, forward_two_year, 'daily')\n        return date_list[n]\n    else:\n        raise ValueError('direction should be back/forward\uff01\uff01\uff01')\n\n\ndef ticker2sec(ticker):\n    '''\n    \u529f\u80fd\uff1a\u5c06ticker\u8f6c\u6362\u4e3asecID\uff0c\u8f93\u5165\u7684ticker\u4e0d\u8981\u6709\u91cd\u590d\u503c\uff01\n    \u8f93\u5165\uff1a\n        tickers\uff1alist\u3001dict\u3001series\uff0clist\u65f6\u6ca1\u6709value\uff0cdict/series\u65f6\u6709\u5bf9\u5e94\u7684value\n    \u8f93\u51fa\uff1a\n        \u540c\u8f93\u5165\u7c7b\u578b\n    \u4f9d\u8d56\uff1a\n        \u9700\u8981\u7528\u5230DataAPI.EquGet\n    \u7ec6\u8282\uff1a\n        \u82e5\u6ca1\u627e\u5230\u8fd9\u4e2asec\uff0c\u5219\u8fd4\u56de\u7ed3\u679c\u4e0d\u5305\u542b\u8fd9\u4e2aticker\n    '''\n    \n    universe = DataAPI.EquGet(equTypeCD=u\"A\",listStatusCD=\"L,S,DE,UN\",field=u\"ticker,secID\",pandas=\"1\") # \u83b7\u53d6\u6240\u6709\u7684A\u80a1\uff08\u5305\u62ec\u5df2\u9000\u5e02\uff09\n    universe = dict(universe.set_index('ticker')['secID'])\n    if isinstance(ticker, list):\n        res = []\n        for i in ticker:\n            if i in universe:\n                res.append(universe[i])\n            else:\n                print i, ' \u5728universe\u4e2d\u4e0d\u5b58\u5728\uff0c\u6ca1\u6709\u627e\u5230\u5bf9\u5e94\u7684secID\uff01'\n        return res\n    elif isinstance(ticker, dict):\n        res = {}\n        for i in ticker:\n            if i in universe:\n                res[universe[i]] = ticker[i]\n            else:\n                print i, ' \u5728universe\u4e2d\u4e0d\u5b58\u5728\uff0c\u6ca1\u6709\u627e\u5230\u5bf9\u5e94\u7684secID\uff01'\n        return res\n    elif isinstance(ticker, pd.Series):\n        res = {}\n        for i in ticker.index:\n            if i in universe:\n                res[universe[i]] = ticker[i]\n            else:\n                print i, ' \u5728universe\u4e2d\u4e0d\u5b58\u5728\uff0c\u6ca1\u6709\u627e\u5230\u5bf9\u5e94\u7684secID\uff01'\n        return pd.Series(res)\n    else:\n        raise ValueError('ticker should be list or dict or series\uff01')\n        \n        \ndef sec2ticker(sec):\n    '''\n    \u529f\u80fd\uff1a\u5c06sec\u8f6c\u6362\u4e3aticker\uff0c\u8f93\u5165\u7684sec\u4e0d\u8981\u6709\u91cd\u590d\u503c\uff01\n    \u8f93\u5165\uff1a\n        sec\uff1alist\u3001dict\u3001series\uff0clist\u65f6\u6ca1\u6709value\uff0cdict/series\u65f6\u6709\u5bf9\u5e94\u7684value\n    \u8f93\u51fa\uff1a\n        \u540c\u8f93\u5165\u7c7b\u578b\n    \u4f9d\u8d56\uff1a\n        \u9700\u8981\u7528\u5230DataAPI\uff1aEquGet\n    \u7ec6\u8282\uff1a\n        \u82e5\u6ca1\u627e\u5230\u5bf9\u5e94\u7684ticker\uff0c\u5219\u8fd4\u56de\u7ed3\u679c\u4e0d\u5305\u542b\u8fd9\u4e2asec\n    '''\n    \n    universe = DataAPI.EquGet(equTypeCD=u\"A\",listStatusCD=\"L,S,DE,UN\",field=u\"ticker,secID\",pandas=\"1\") # \u83b7\u53d6\u6240\u6709\u7684A\u80a1\uff08\u5305\u62ec\u5df2\u9000\u5e02\uff09\n    universe = universe[['secID','ticker']]\n    universe = dict(universe.set_index('secID')['ticker'])\n    if isinstance(sec, list):\n        res = []\n        for i in sec:\n            if i in universe:\n                res.append(universe[i])\n            else:\n                print i, ' \u5728universe\u4e2d\u4e0d\u5b58\u5728\uff0c\u6ca1\u6709\u627e\u5230\u5bf9\u5e94\u7684ticker\uff01'\n        return res\n    elif isinstance(sec, dict):\n        res = {}\n        for i in sec:\n            if i in universe:\n                res[universe[i]] = sec[i]\n            else:\n                print i, ' \u5728universe\u4e2d\u4e0d\u5b58\u5728\uff0c\u6ca1\u6709\u627e\u5230\u5bf9\u5e94\u7684ticker\uff01'\n        return res\n    elif isinstance(sec, pd.Series):\n        res = {}\n        for i in sec.index:\n            if i in universe:\n                res[universe[i]] = sec[i]\n            else:\n                print i, ' \u5728universe\u4e2d\u4e0d\u5b58\u5728\uff0c\u6ca1\u6709\u627e\u5230\u5bf9\u5e94\u7684ticker\uff01'\n        return pd.Series(res)\n    else:\n        raise ValueError('sec should be list or dict or series\uff01')\n        \n        \ndef cal_maxdrawdown(data):\n    '''\n    \u529f\u80fd\uff1a\u7ed9\u5b9a\u51c0\u503c\u6570\u636e\uff08list, np.array, pd.Series, pd.DataFrame\uff09\uff0c\u8fd4\u56de\u6700\u5927\u56de\u64a4\n    \u8f93\u5165\uff1a\n        data, list/np.array/pd.Series/pd.DataFrame\uff0c\u51c0\u503c\u66f2\u7ebf\uff0c\u521d\u59cb\u91d1\u4e3a1\n    \u8f93\u51fa\uff1a\n        list/np.array/pd.Series\u8fd4\u56defloat\n        pd.DataFrame\u8fd4\u56depd.DataFrame\uff0cindex\u4e3aDataFrame.columns\n    '''\n    \n    if isinstance(data, list):\n        data = np.array(data)\n    if isinstance(data, pd.Series):\n        data = data.values\n        \n    def get_mdd(values): # values\u4e3anp.array\u7684\u51c0\u503c\u66f2\u7ebf\uff0c\u521d\u59cb\u8d44\u91d1\u4e3a1\n        dd = [values[i:].min() / values[i] - 1 for i in range(len(values))]\n        return abs(min(dd))\n    \n    if not isinstance(data, pd.DataFrame):\n        return get_mdd(data)\n    else:\n        return data.apply(get_mdd)\n    \n    \ndef cal_indicators(df_daily_return):\n    '''\n    \u529f\u80fd\uff1a\u7ed9\u5b9adaily return\uff0c\u8ba1\u7b97\u5404\u7ec4\u5408\u7684\u8bc4\u4ef7\u6307\u6807\uff0c\u5305\u62ec\uff1a\u5e74\u5316\u6536\u76ca\u7387\u3001\u5e74\u5316\u6807\u51c6\u5dee\u3001\u590f\u666e\u503c\u3001\u6700\u5927\u56de\u64a4\n    \u8f93\u5165\uff1a\n        df_daily_return  pd.DataFrame\uff0cindex\u4e3a\u5347\u5e8f\u6392\u5217\u7684\u65e5\u671f\uff0ccolumns\u4e3a\u5404\u7ec4\u5408\u540d\u79f0\uff0cvalue\u4e3adaily_return\n    '''\n    \n    df_cum_value = (df_daily_return + 1).cumprod()\n    res = pd.DataFrame(index=['\u5e74\u5316\u6536\u76ca\u7387','\u5e74\u5316\u6807\u51c6\u5dee','\u590f\u666e\u503c','\u6700\u5927\u56de\u64a4'], columns=df_daily_return.columns, data=0.0)\n    res.loc['\u5e74\u5316\u6536\u76ca\u7387'] = (df_daily_return.mean() * 250).apply(lambda x: '%.2f%%' % (x*100))\n    res.loc['\u5e74\u5316\u6807\u51c6\u5dee'] = (df_daily_return.std() * np.sqrt(250)).apply(lambda x: '%.2f%%' % (x*100))\n    res.loc['\u590f\u666e\u503c'] = (df_daily_return.mean() / df_daily_return.std() * np.sqrt(250)).apply(lambda x: np.round(x, 2))\n    res.loc['\u6700\u5927\u56de\u64a4'] = cal_maxdrawdown(df_cum_value).apply(lambda x: '%.2f%%' % (x*100))\n    return res\n\n\ndef cal_turnover(current_wts, target_wts):\n    '''\n   \u529f\u80fd\uff1a\u7ed9\u5b9a\u5f53\u524d\u6301\u4ed3\u6bd4\u4f8b\u548c\u76ee\u6807\u6301\u4ed3\u6bd4\u4f8b\uff0c\u8ba1\u7b97\u53cc\u8fb9\u6362\u624b\u7387\uff08\u9ed8\u8ba4\u6301\u4ed3\u6bd4\u4f8b\u4e4b\u548c\u5747\u4e3a1\uff09\n   \u8f93\u5165\uff1a\n       current_wts\uff0cpd.Series\uff0c\u5f53\u524d\u6301\u4ed3\u6bd4\u4f8b\n       target_wts\uff0cpd.Series\uff0c\u76ee\u6807\u6301\u4ed3\u6bd4\u4f8b\n   \u8f93\u51fa\uff1a\n       float\n    '''\n    if not isinstance(current_wts, pd.Series) or not isinstance(target_wts, pd.Series):\n        raise ValueError('current_wts and target_wts should be pd.Series\uff01\uff01\uff01')\n    tmp = pd.merge(pd.DataFrame({'current_wts':current_wts}), pd.DataFrame({'target_wts':target_wts}), how='outer', left_index=True, right_index=True)\n    tmp = tmp.fillna(0.0)\n    tmp['turnover'] = tmp.current_wts - tmp.target_wts\n    return abs(tmp['turnover']).sum()\n\n\ndef get_ticker_period_rtn(tickers, start_date, end_date):\n    '''\n    \u529f\u80fd\uff1a\u8f93\u5165tickers + \u8d77\u59cb\u65e5\u671f\uff0c\u83b7\u53d6tickers\u5728\u8fd9\u671f\u95f4\u7684daily return\n    \u8f93\u5165\uff1a\n        ticker\uff0clist of ticker string\n        start_date\uff0cyyyymmdd\u65e5\u671f\n        end_date\uff0cyyyymmdd\u65e5\u671f\n    \u8f93\u51fa\uff1a\n        pd.DataFrame\uff0cindex\u4e3a\u65e5\u671fyyyymmdd\uff0ccolumns\u4e3atickers string\n    \u4f9d\u8d56\uff1a\n        DataAPI\uff1aMktEqudAdjGet\n        function\uff1ashift_date()\n    '''\n    begin_date = shift_date(start_date, 1)  # \u5411\u524d\u63a8\u4e00\u5929\u4fdd\u8bc1\u7b2c\u4e00\u5929\u4e5f\u6709daily return\n    data = DataAPI.MktEqudAdjGet(ticker=tickers, beginDate=begin_date, endDate=end_date, field='ticker,tradeDate,closePrice', pandas='1')\n    daily_rtn = data.pivot(index='tradeDate', columns='ticker', values='closePrice').pct_change().fillna(0.0)\n    return daily_rtn",
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "id": "FB90F10883334DBF82C24A23B02B9CD9",
     "metadata": {},
     "source": [
      "## \u5b9e\u8bc1\u7814\u7a76\n",
      "--------------------------\n",
      "\u4ece2007\u5e741\u67081\u65e5\u81f3\u4eca\uff0c\u4e0a\u8bc150\u6210\u5206\u80a1\u4e3a\u6807\u7684\n",
      "\u6bcf\u5b63\u5ea6\u672b\u6362\u4ed3\n",
      "\u7528\u8fc7\u53bb500\u4e2a\u4ea4\u6613\u65e5\u6570\u636e\u4f30\u8ba1\u534f\u65b9\u5dee\u77e9\u9635"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "id": "FAF924C0C94E4BF883D82924FD8F9530",
     "input": [
      "start_date = '2007-01-01'\n",
      "# end_date = dt.today().strftime('%Y-%m-%d')\n",
      "end_date = '2018-01-23'\n",
      "idx_code = '000016'  # \u4e0a\u8bc150\n",
      "cov_Ndays = 500  # \u4f30\u8ba1\u534f\u65b9\u5dee\u77e9\u9635\u6240\u7528\u5386\u53f2\u5929\u6570"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "id": "09896438071045AA87A9B215688440E8",
     "input": [
      "# \u83b7\u53d6\u4e0a\u8bc150\u5386\u53f2\u51c0\u503c\n",
      "idx_data = DataAPI.MktIdxdGet(ticker=idx_code, beginDate=start_date, endDate=end_date, field=u\"tradeDate,closeIndex\", pandas=\"1\")\n",
      "# idx_data['tradeDate'] = idx_data.tradeDate.apply(lambda x: x.replace('-', ''))\n",
      "idx_data['values'] = idx_data.closeIndex / idx_data.closeIndex[0]\n",
      "idx_data = idx_data.set_index('tradeDate')\n",
      "result = pd.DataFrame(index=idx_data.index, data=0.0, columns=['SH50','equal weight','min variance','risk parity','max diversification'])\n",
      "result['SH50'] = idx_data['values']\n",
      "\n",
      "# \u56de\u6d4b\n",
      "date_list = sorted(get_dates(start_date, end_date, 'quarterly')+[start_date, end_date])\n",
      "for i in range(len(date_list)-1):\n",
      "    print date_list[i]\n",
      "    current_period = date_list[i]\n",
      "    next_period = date_list[i+1]\n",
      "    tickers = get_idx_cons(idx_code, current_period)\n",
      "    cov_mat = get_covmat(tickers, current_period, cov_Ndays)\n",
      "    \n",
      "    # \u6743\u91cd\u4f18\u5316\n",
      "    for j in {'min variance', 'risk parity', 'max diversification','equal weight'}:\n",
      "        wts = get_smart_weight(cov_mat, method=j, wts_adjusted=True)\n",
      "        daily_rtn = get_ticker_period_rtn(wts.index.tolist(), current_period, next_period)\n",
      "        # print daily_rtn\n",
      "        daily_rtn.ix[0] = 0.0\n",
      "        cum_rtn = np.dot((daily_rtn + 1).cumprod(), wts)\n",
      "        if i == 0:\n",
      "            result.loc[daily_rtn.index[2:], j] = cum_rtn[2:] * 1.0\n",
      "        else:\n",
      "            result.loc[daily_rtn.index, j] = cum_rtn * result.loc[daily_rtn.index[0],j]\n",
      "\n",
      "# \u683c\u5f0f\u8c03\u6574 + \u6307\u6807\u8ba1\u7b97\n",
      "indicators = cal_indicators(result[['SH50','equal weight','min variance','risk parity','max diversification']].pct_change().dropna())"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2007-01-01"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2007-03-30"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2007-06-29"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2007-09-28"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2007-12-28"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2008-03-31"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2008-06-30"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2008-09-26"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2008-12-31"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2009-03-31"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2009-06-30"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2009-09-30"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2009-12-31"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2010-03-31"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2010-06-30"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2010-09-30"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2010-12-31"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2011-03-31"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2011-06-30"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2011-09-30"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2011-12-30"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2012-03-30"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2012-06-29"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2012-09-28"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2012-12-31"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2013-03-29"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2013-06-28"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2013-09-30"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2013-12-31"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2014-03-31"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2014-06-30"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2014-09-30"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2014-12-31"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2015-03-31"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2015-06-30"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2015-09-30"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2015-12-31"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2016-03-31"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2016-06-30"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2016-09-30"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2016-12-30"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2017-03-31"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2017-06-30"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2017-09-29"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "2017-12-29"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n"
       ]
      }
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "id": "66B55C78FB5D45DC8AE7A6E83BF62F91",
     "input": [
      "indicators"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>SH50</th>\n",
        "      <th>equal weight</th>\n",
        "      <th>min variance</th>\n",
        "      <th>risk parity</th>\n",
        "      <th>max diversification</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>\u5e74\u5316\u6536\u76ca\u7387</th>\n",
        "      <td>9.41%</td>\n",
        "      <td>12.31%</td>\n",
        "      <td>10.00%</td>\n",
        "      <td>11.89%</td>\n",
        "      <td>10.71%</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>\u5e74\u5316\u6807\u51c6\u5dee</th>\n",
        "      <td>29.33%</td>\n",
        "      <td>29.37%</td>\n",
        "      <td>25.22%</td>\n",
        "      <td>28.09%</td>\n",
        "      <td>34.35%</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>\u590f\u666e\u503c</th>\n",
        "      <td>0.32</td>\n",
        "      <td>0.42</td>\n",
        "      <td>0.4</td>\n",
        "      <td>0.42</td>\n",
        "      <td>0.31</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>\u6700\u5927\u56de\u64a4</th>\n",
        "      <td>72.41%</td>\n",
        "      <td>70.96%</td>\n",
        "      <td>68.81%</td>\n",
        "      <td>71.03%</td>\n",
        "      <td>77.92%</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 107,
       "text": [
        "         SH50 equal weight min variance risk parity max diversification\n",
        "\u5e74\u5316\u6536\u76ca\u7387   9.41%       12.31%       10.00%      11.89%              10.71%\n",
        "\u5e74\u5316\u6807\u51c6\u5dee  29.33%       29.37%       25.22%      28.09%              34.35%\n",
        "\u590f\u666e\u503c      0.32         0.42          0.4        0.42                0.31\n",
        "\u6700\u5927\u56de\u64a4   72.41%       70.96%       68.81%      71.03%              77.92%"
       ]
      }
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "id": "DC8983B391FB470C825952A55981C519",
     "input": [
      "# \u7ed8\u56fe\n",
      "fig = plt.figure(figsize=(14,8))\n",
      "fig.set_tight_layout(True)\n",
      "ax = fig.add_subplot(111)\n",
      "\n",
      "result['dates'] = map(lambda x: dt.strptime(x, '%Y-%m-%d'), result.index)\n",
      "ax.plot(result['dates'], result[['SH50','equal weight','min variance','risk parity','max diversification']])\n",
      "\n",
      "ax.legend(['SH50','equal weight','min variance','risk parity','max diversification'], loc='best', fontsize=13)\n",
      "ax.xaxis.set_tick_params(labelsize=13)\n",
      "ax.yaxis.set_tick_params(labelsize=13)\n",
      "ax.set_title(u'\u6743\u91cd\u4f18\u5316\u89c6\u89d2\u4e0bSmart Beta\u4e1a\u7ee9\u5c55\u793a', fontproperties=font, fontsize=17)\n",
      "ax.grid()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "data": {
        "image/png": "iVBORw0KGgoAAAANSUhEUgAAA+QAAAI0CAYAAACUFOOKAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
        "text/plain": "<matplotlib.figure.Figure at 0x32889190>"
       },
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAA+QAAAI0CAYAAACUFOOKAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3XdUVNfaBvDnAEMXCyIqYLkkSiI2QBSUWFATFRLEKEns\nRuzYry2iRk1ssUSILRbUGDWiYCyIitcKBkWjHxISW6QpElCQDjPn+wM5MszQFAXM81sra83ss88+\n+8wc7vWddxdBFEURRERERERERPRGaVR1B4iIiIiIiIj+jRiQExEREREREVUBBuREREREREREVYAB\nOREREREREVEVYEBORET0Cq5evYqrV69WdTeIiIioBmJATkT0L7B69WoMGDDgtbWfn5+PtLQ0PHz4\nEHfv3kV6enqJdX/88UeMHz9eqWzy5MmYNm0aAOD48eNQKBSlXu/x48dISkp6qb4mJibixx9/fKlz\ni4uPj8fYsWNx4MCBSmmP3g6nT5/G+PHj1T7HwcHBsLKyqoJeERFRdaRV1R0gIqI3QxAE6fXIkSMR\nFhamtp6JiQkuXLggvX/8+DHGjRuHvLw8yOVyyOVy5OfnQy6XIzs7G1lZWcjNzVW6joeHBxYuXKi2\nfX9/f3Ts2FGpLC0tDY0bN0ZsbCyWLFmCgwcPYu3atTAyMlLbxtq1a3Hjxg0cP34cAODj4wN/f3+c\nO3euzM8hPT0dW7ZsQe3atTFo0CAAgK+vL3x9fdXWHzJkCObPn6+2nQkTJiAzMxO//vorDh8+rFLn\n8uXLqFOnjkr5gAEDcOvWrTL7WpyZmRlCQkIqfB69nHXr1uHs2bMIDAzEs2fP0KFDB+zYsQMODg6l\nnnf69Gk8fvwYGhoFeY+EhAQU7jKbnJwMQRAQHx8v1dfW1oaJiYn0PiAgAHPnzoUgCCjv7rSBgYFK\ngf7t27fh6upa7jbq16+PixcvlutaRERUeRiQExH9Cy1ZsgR9+vTBmDFj4OLiIpXv3r0bUVFRSnUb\nNGiAkSNHQqFQQCaTQVtbGzKZDNHR0Vi3bh1++eUXGBkZQVdXF3p6eqhVq5ZS8F9UcHAwYmJi8P33\n3yuVp6Wl4d1334WFhQUOHjyI4cOHY+PGjZg9e7ZKGykpKQgKClI6JgiCyjUzMzOxZcsWjBkzBvr6\n+gCArl274vHjxwCAhQsXYsGCBejfvz/MzMzQrFkzbNq0SSl4mTVrltr7SE1Nxbhx4xATE4Off/4Z\n9evXl449evQII0eOhLW1tdpgHCj4ASA7O1ulfPHixdDT08OsWbPUBlFaWi/+b1uhUMDPzw8HDx5E\nfHw89PX1YW5ujgEDBsDDw0Ptdauj8PBwDBs2THqvpaWFunXrwsbGBhMnTkSLFi2qsHco8VkuSXZ2\nNk6dOgUvLy+prFevXkrZclEU0bNnT+l927ZtsW/fPqV29PT0cPz48TKD6YSEBAwdOlSlvHnz5ggK\nCip3v4s+W0RE9Obwf32JiN5irVq1gkKhgCiKEAQBVlZWEAQBISEhsLKywoMHD9C8eXOpfmpqKpo0\naaK2jZIUZpkLFQYQ+vr6uHbtmlQul8vh6+sLR0dHlSG7qampqFWrFgCgcePG2LVrF2rXrq32ej4+\nPqhdu3apQ/Czs7MxduxYPH78GEOHDpUC8p9++gn5+fkACobZjxgxAu+88w6ysrIgk8nQrFkz/PDD\nDxAEARMmTICurq5K21FRUZg2bRri4uLw/fffo3379kr36O3tDX19faxcubLE/jVq1Ehtub6+PgwM\nDNCsWbMSzy20Zs0a+Pn5wcvLC+3bt0dqaipu3rwJAwODMs99EzIzM9G5c2dcuHABhoaGpdYVBAH/\n/e9/YWdnh5ycHPz999/YuHEjhg4dipMnT5b4LKhz6NAhhISE4Icffnipfhf+rZRHUlKSUmYbKMhU\ni6KI/v374/Dhw8jNzUV4eDiePn0KADh//jwWL16MkJAQ6W/F1NRUbftlTd0orFPSjzdF/7aJiKh6\nYkBORPQWO3bsGERRxMyZM5GbmwsfHx+IoogGDRrAzs4Ox44dU6p//fp1fPnllyptyOVyleDg2rVr\nWLRoEQ4cOAAdHR2pXBAEaGhoQFNTU6n+tm3bcOfOHYwdO1btEPGNGzdiw4YNSu14enpi+vTpUllk\nZCQOHDiA2bNnQ1tbW+09p6WlwcvLC/Hx8di7dy+MjY2lYxYWFtLrgIAA5OTkwMPDA35+flL5/fv3\nS2w7OjoagwYNQt26dSGXyzFp0iSVOoXBXO/evZXKz5w5g8aNG6tt92Xs378fH330EcaOHSuV9erV\nq9Laf1UnTpxAdnZ2uYZLi6KIpk2bok2bNgCADh06wNjYGBMnTkR4eHi570sURRw+fFj6caeili5d\niqioKPz888/lqu/p6Qlra2ssXboUAJCbm4utW7dixIgR0NTUxPLlyzFs2DDs378fK1euVAr0nZ2d\npdcBAQEqP1JlZWUpZdGL/1BQ+LkW/r0REVHNxICciOgt1qxZM+Tm5uLOnTvIy8vD/fv30b17dwDA\nBx98AD8/P9y9exeWlpaIiYlBQkICbG1tVdpwd3dHVFSUSuZQFEUMHDhQpWzq1KkYN26cVPbXX39J\nwba2tjaGDBmCfv36ASiYUztkyBAsXrwYdnZ2Sm0VHfKdk5OD2bNnQy6Xl5hRvH37NiZOnIicnBzs\n2rWrxHpZWVnw8fHBqFGjVLK3eXl5JWaZrays8OOPP6JBgwbo168fVq5cidatW0vzdMeNGwcnJycM\nGTJECpju3LmDyZMnq23vVWhoaCjN3Vdn7ty5iI2NRa9evbBr1y4kJibC2NgYAwYMQNu2bbFx40b8\n8ccfqFWrFnr27Il58+ZJP0bExsZiy5YtCA8PR0JCAoyMjNCvXz/MnDlTqhMQEIClS5fi7NmzmDNn\nDi5evIhPP/0Uurq60o8cHTp0gCAI8PX1VQpCy6KnpwcASt9Pbm4u1q5diyNHjuDZs2ewsbHB4sWL\nYWFhgZSUFIwcORJ//vkngILvysjICOHh4cjMzMTWrVtx5swZPHjwAJqamnBwcMCcOXNgZmYmtd+i\nRQvs2bMHd+7cwTvvvFNq/+7evYvo6GilH0SOHj2KhIQEPHz4ECNGjIAoihg6dCj09PQwfPhwAMDJ\nkycxffp03Lp1q9QfK4qPMGnVqhU2b96MLl26ACiYcpGeno7Vq1ernJueni5NzaioZs2aMcAnInqD\nGJATEb3lwsLCkJOTA01NTcyaNQsHDx5EkyZN0KFDB9SuXRv+/v6YPXs2jh49CjMzM7UrQAuCgMmT\nJ2PkyJFSEBEaGgovLy9cunQJurq6UlA6ZcoUpXPT09Ph5eUFc3Nz3L17F0BBoF0YbD979gyCIMDC\nwgLnz5/HgAED1A5xnjVrFh49elTifT558gSDBg1CmzZtsHbtWtSrV6/EuqtXr0ZiYiJcXV1VjmVk\nZJSayXZwcEBMTAyAgqHnRYcFa2tro06dOkpDzktbcV6dCxcu4OTJkyoZ9uK6dOmCoKAg+Pn5YciQ\nISXOAb569SoSExMxffp01KpVC6tXr8aGDRugqamJMWPGYMqUKQgLC8OWLVtgZmYGT09P6V4MDQ0x\nc+ZM1K1bF9HR0Vi+fDmMjIyURgZkZGRg/PjxaN++PYYPH45GjRohNzcXqampOHjwIPz8/KCvr1/m\n8GlRFKUFAx88eABfX1/Y2NigU6dOUp05c+bgwoULmDlzJho2bIitW7fCw8MDp06dgqGhIZYsWYIJ\nEyagefPm+O9//yuN0tDT00NOTg5GjhyJxo0b459//sGKFSswZ84c7N69W2q/T58+WLp0KX755RfM\nmzev1P4eP34curq66Natm1TWokULDBw4ENra2rh16xa8vb3x8OFDpcXVCn/Uev/996XzBEHArl27\n0KFDB6XPY8mSJdizZ49UNnr0aJV+HDt2TOX8U6dOSYvCqfucC69ZvFwQBJw9e7bEH7KIiKjyMSAn\nInrLHT58WJo/rqOjg5kzZ2Lfvn3Q0tKCi4sLDh06BC8vLwQEBOCTTz4psZ3169dj/fr1KuWOjo5K\n7wVBUMqyp6enIzs7G9u2bVMaglvo7t27EAQBMpkMy5YtQ48ePVQC8rt37yIkJAQbN26UAsZCMTEx\nuHjxIvLy8jB69GhMmzat1DnAgYGB+Omnn6ClpQUPDw/4+PgoHU9JSSlxdffihg0bppLlvH37tspw\n/IosDJafn48pU6agb9++WLBgQYnzp+fNm4f4+HisWLECW7duxZAhQzB48GCV4dqCIGD58uXSd5Kf\nn48JEybgo48+kn48cXBwwPHjxxEeHi59vqampkoL57Vr1w7Hjh3DpUuXVIbqv/vuu5gxY4ZSWcOG\nDQEA1tbWZc4hBwAvLy+lYNHNzQ0LFy6UPru7d+/i+PHjmD9/vrRonbW1Nbp27Yp9+/bhyy+/RJs2\nbaCtrY3atWtLw98L2/vvf/8rvZfL5YiOjsaWLVuQl5cHmUwGAKhVqxYcHR0REhJSakCuUCgQGBiI\nbt26SZn8wv5YW1vD09MT7dq1w+effw6FQoEzZ87gn3/+UZsRl8lkMDU1VfmeNTQ0MHHiRAwZMgQA\n4OLigsWLF8PW1haiKMLHxweZmZmYM2cORFFU+hGpf//+6N+/v9q+jxw5Ek2bNsWiRYtKvD8iInpz\nGJATEb3FHj58iJMnT8Le3h4ZGRlYtGgRBg4ciLi4ODRp0gQeHh746aefMH36dCQmJqoMPy/K09MT\nX3zxhRRUhIeHY+7cuTh27JjS4mfFA5mGDRsiICCgxIx1ZGQkzM3NYWBgUGLgamlpiT179qBt27ZK\n5T/88AM2bdoETU1NNGjQQGm+uTrHjx+Ht7c39PT00L17dzx79gwXLlxQyi7HxMSgQYMGpbYjl8sB\nACtXroS1tbVUXjhkffDgwVLZ7du3VUYNlKZ79+7o1q0bvL29ceXKFZWF4woZGxtj3759OH36NHbu\n3Invv/8ee/bswebNm1Wyr0XPL1xQrl27dkrtNWrUCMnJydL7Z8+eYdWqVfjf//6nFEy+9957SucJ\ngqD2h5aKmj17Njp06ACFQoGEhARs3rwZgwYNwp49e1CrVi1cuXIFgiCgU6dO0udfu3ZtNGrUCNev\nXy+z/S1btuDQoUOIjY2VzhcEATk5OVJADgA2NjY4d+6c0rZkxZ04cQIJCQn47rvvVI7t3r0bN2/e\nhL+/P+Lj42FsbIy4uDgMGzZMbVa6adOmCA4OVirPycmBjo4O6tWrp/R3Y2pqKo2+KNzNoKwFAEVR\nRE5OjtoFCoGCkSV169YttQ0iInp9GJATEb3FfH190bJlS7Rp0wZhYWFo0aIFdu3aJa2k/u6776Jr\n1644e/YsBg8eXOLq30BBZjUrK0t6n5eXBwBK23eJoqh2ZejSho9fvHhRCg5Lm1NbPBgHCjKS3333\nHf766y8cPHiwxHOBggzrjBkzYGdnh8aNG0MURfj6+kImk0nz22/cuIH09HT4+Pjg3XffLbGtwmH2\nZmZmaoesFy3LyMgotV/q9O3bF9bW1hg/fjyGDh2KuXPnKgX5RfXs2RM9e/bExYsX4eXlBW9vb6XP\nwsDAQGlOcGFQqG7hs6Kf/+zZs3HhwgWMGTMGDg4O0NPTg7e3t9rvqOjCeS/LwsICrVq1AgC0bt0a\ndnZ2cHJyws6dOzFp0iQ8ffoUoigqbdNXeD9lLZbn5+eHNWvWwMXFRRp1sH//fhw4cEClro2NDQDg\nt99+K7G9nTt3wsbGRuWHktDQUCxfvhzW1tbw8vJCXFwcNm/eLPUzKioKaWlpuHHjBj744APs27cP\nO3bsUGk/LS0NKSkpStNHChc5LD7kvHBrNEEQ1C4OV3iNwMBAabeBQv7+/li9ejX279+vsrsCERG9\nGQzIiYjeUlevXsWhQ4fg6+uL33//XSovHtiamZlJc7hL4+fnp7QaOVAQwKnbfqxz587l6uONGzfw\n4MEDjB8/HkDF93zu2rUrgIIstDpJSUnIz89Ho0aNYGlpicGDB2Py5MlYtmwZ5HK5tDp8ly5dYG5u\nLgWyiYmJyMnJwRdffKE2e/jkyROIooikpCTcu3cPQMFnkZubi6dPn0plAErNtJamSZMm2Lt3L8aP\nH4+9e/fCw8Oj1L2iu3TpAnd3d+zbtw/5+flS3Yp+pkBBhvbs2bP44osvlPbTlsvlb2zBL2NjY9Sp\nUwf3798HABgZGUEQBGzevFnlB4Cytno7ceIEWrRooZTRLrozQFGtW7eGp6cnbGxspLUCinN3d0fT\npk1VymNjY/Gf//wHVlZW6NKlC7p27QptbW2Eh4cDKHhGgoKCsH79eoSGhpbY3/v378PZ2Rnz58/H\nvXv3MHr0aPj5+cHCwgLbtm3D5cuXpZEhwIssd/GRHampqfj+++9hb2+vEowDBavy//jjj/D09MT+\n/fuVFlEkIqI3gwE5EdFbKj09HX369IGzs7NSQF7U6dOnsXfvXmn/7d69e6tkG1NTU7Fq1SqVcyMi\nIrBgwQIcOnRIbXCTlZWlNL9WnXXr1kFXVxc9e/ZEXFyc0rHMzEycOXMGffv2fekg8ObNm5g8eTLC\nwsJgZGSE+fPnq61XmKGfN28eHB0dERYWBqBgkS91IiMjAQBTp05VObZnzx6lhbgqsq91cUZGRtix\nYwcSExNLDcYLpaWlwcDAoFx1S5OXlweFQoH69etLZY8ePcK9e/fKXH28UGGwWNZK8CWJi4vDkydP\npOexY8eOAApGZBRm0tXR0tJSuWZubq7SvYiiiMuXL6s9X0dHp8ypD4Vz2NWVFz127949lX3Kz549\nCwcHh1Lbv3HjBr744gs0atRIWhSwQYMGaNy4MWbMmIF+/fph27ZtmDRpEpYuXYro6GgcOXJE5Xtf\nvXo1srOzlebPF1W7dm1s2rQJHh4e8PLyUlrgjoiI3gwG5EREb6lu3bpJGWR1Ll68iOnTp+Ozzz7D\nlClT0K9fP0yaNAl79uxRCqQPHjyosodyUe7u7krvCwPQH3/8UdqiSZ2goCCEhYVhzJgxahf9iomJ\nwcyZM+Hg4PDSQ6Lj4+Ohp6dX5iJtd+7cgZeXFzQ1NeHp6amUvRRFERMnTsSsWbOk+bqXLl1Cs2bN\ncOLECaV2XF1d8eGHHyotehYZGVnq3PyyaGtrq4xeuHv3LjZs2AAnJyeYm5sjOzsboaGhOH78uNq9\n0SvK0NAQ7733Hg4cOIAWLVogOzsbmzdvVrv6dknTDAoD9+3bt6Nr165o1KgRzM3NS7zm/fv3cePG\nDYiiiPj4eGzcuBGGhoYYNGgQgIJ1BD7++GN8/fXXSEpKQosWLZCXl4eoqCi0b99eWrTO0tISV69e\nxZkzZ6CpqYmuXbuiQ4cO+Pnnn3HgwAGYmprC399faapFSYreW3n2U09ISMBvv/2GiIgIhIaG4uHD\nh/jhhx+k5/vcuXM4e/Ysdu3ahYSEBGhoaEg/XBS6e/cu7t27Jw2dL05LSwtbt27FsGHD4O/vj9at\nW2PdunVK8+CBgtXXf/nlF0ybNq3U0S/NmzfHsmXLMHHiRGzZsgVjxowp8z6JiKjyVCggF0URn3/+\nOX7//XecO3euxG0xzp8/j5UrVyI2NhZNmjTBnDlzyj18kYiIKk9JQfTOnTuxatUq9OvXDwsWLIAg\nCFizZg2+/PJLeHp6YvPmzTAwMEB+fj66deumtLVToYiICHh7eyMgIEBthrx4gFDUzZs3MW/ePNSt\nW1cKALS1tSGKIg4fPgxzc3McO3YMZmZm5QrGZTIZ/vnnH/z888+oV68eFAoF4uPj8fPPP6ude15U\nYGAgli1bhrS0NMyZMwctWrQAAERHR6Nhw4a4efMm/ve//0krjt+8eRPXrl2ThtmXpTyBXEXVrl0b\n6enpWLNmDVJTU6Gnp4fmzZtj5cqV0v7uhdQ9AyU9F0XLV65cifnz52PatGkwMTHBhAkTkJWVBX9/\n/3K11bNnTwwYMAB79+7Fzz//jDVr1pQYkAuCoLSfdoMGDdC+fXv4+PgoBZPLli3D5s2bsXPnTiQk\nJEBXVxfW1tb44IMPpDozZ87ErFmzMGXKFJiYmODMmTOYNGkSHj16hOXLl0NbWxtubm6YMGGC0krk\nc+fORUBAgNp7K5yXLQgCRo0apfSdCoKAZcuWwc3NDXv37sXWrVvRtGlT9OnTB66urrCyskJOTg4m\nT56MmTNn4rPPPoO2tjZ69uyJjh074uuvv1a65p49e9C8eXOlhflEUcT58+exePFiZGVlYd++fdiz\nZw9mzZqF6OhoHDp0CJ988ok0cuCvv/7C/PnzYWNjo7IrgTrOzs5wdXWFj48PnJycVBbuIyKi10cQ\nK/Avhe3bt+PixYsICwsrcZ/K2NhYuLq6YunSpfjoo48QFBSEBQsW4NixY2UuukJERK/H6tWrERYW\nBh8fH8ycORPXr1/H2LFjVVb/PnLkCGbPng1LS0vs3bsXqampcHZ2rvCQa1EU0bBhQ5w9e1ap3MrK\nCuvWrcOqVavw6NEj+Pr6onv37gAKtpKaNGkSwsLCkJubCxMTE8yaNQt9+/ZVaWP9+vVK+3RHR0dj\n8uTJSEhIgFwuh5aWFoyMjPCf//wH06ZNU8k2zp07F3K5HO3bt8fXX38NQRAwdepUjB07FgqFAp9/\n/jn++OMP5OfnQ09PDz179sSKFSuQlZUFNzc3ZGRk4OjRoypzbgsz5MOGDcOCBQtgbGyMpKQknDp1\nCpcuXSp1cTsAmDhxIgwMDLBy5coKfd706v755x88e/bspc41MTGBoaEhnjx5gszMTJiZmQEoGF6/\nevVqnDlzBsnJyRg3bhzGjRsHoCATvn79egQHB+PDDz/EqlWroK2tjdmzZ8Pa2hpDhw4FADx+/Bh9\n+/ZFXl4eXFxcMGrUKFhaWgIo+Dvbv38/9uzZg6SkJJw+fRqGhobw8/PD9u3bpREBSUlJiIuLg0wm\nw/Tp09GjRw/MmTNH6R5SU1MxdepUfPfdd5WySB8REZVPuTPk9+/fx759+7B+/Xq4ubmVWC8wMBDW\n1tbSKqiurq7Yt28fAgICMHHixFfvMRERvRRBEFCrVi2IoogdO3ZIc3KLcnV1hZ6eHvz8/GBoaAhD\nQ0NER0dXah80NDQwduxYZGZmSsE4ULDvcuFq52W1UZyVlRVOnjxZ4f44OTmhadOm8Pb2lobXa2ho\nYP/+/Wrr6+npoWXLlvj888/VLoBlaGgIXV1dGBkZ4dGjRwgLC0NGRgacnJzKDMapatWvX19pnvnL\nqFu3rtIigLq6usjJycHw4cPh6uqqdMzS0hLff/89QkNDcevWLWhrawMAVqxYgfz8fKlegwYN4O/v\nj9q1a6ssMCgIAj777DN89tlnSE5OlobGjxgxAu7u7tJUjYcPH2LEiBGQy+Vo2LCh0o9ZhWrXrq12\nxXciInq9ypUhF0URgwcPxpdffgkrKys4OzuXOGR94sSJMDc3x9y5c6Wyb775BomJiVi/fn3l9p6I\niF6LV1mIrKaRy+Uq83iJiIiI3oRyZch37tyJBg0awNnZGfHx8aX+Iy0jI0Nlb1MjIyPcvXu31Gtk\nZ2cjMjISJiYm/IcRERERERER1XhyuRxJSUmwtraGrq6uyvEyA/KYmBjs2LEDhw4dAlD24jQGBgYq\nc7DS0tLUrqBbVGRkJAYPHlxWd4iIiIiIiIhqlD179sDOzk6lvMyAPCIiAk+ePIGLiwtEUZT++/jj\njzF16lR8/vnnSvWtrKwQHh6uVBYVFQVHR8dSr1O4T+eePXvQsGHDMm+IqKpFRkbC2tq6qrtBVG58\nZqkm4fNKNQ2fWapp+My+GY8ePcLgwYOleLe4MgPyvn37KgXTjx49goeHB3bs2IHmzZur1Hdzc8P2\n7dtx/Phx9OrVC0FBQYiKisKqVatKvU7hMPWGDRuWuk8pUXWRmJjIZ5VqFD6zVJPweaWahs8s1TR8\nZt+skqZla5R1oo6ODkxNTaX/6tevD0EQYGxsDD09PRw5ckRpOxkLCwv4+Phgw4YN6NChA3788Uds\n2LCBW54RERERERERFVHubc8KmZmZ4Y8//pDeu7q6wtXVValOly5dcPTo0VfvHREREREREdFbqswM\nORERERERERFVPgbkRERERERERFWAATkRERERERFRFWBATkRERERERFQFGJATERERERERVQEG5ERE\nRERERERVgAE5ERERERERURVgQE5ERERERERUBRiQExERERERVYLY2FhMmTIFXbp0gY2NDbp16wYv\nLy/k5+cjICAAvXv3VjmneLmvry9atWoFGxsbtG/fHjY2Nli9erXSOefPn4eLiwvatm0LV1dXXLp0\n6bXfG70eWlXdASIiIiIiorfBmDFj4OTkhODgYBgYGCAxMRFnz56FKIoAAEEQ1J5XvLxjx47Yvn27\n2rqxsbGYPHkyli5dio8++ghBQUGYNGkSjh07hsaNG1fuDdFrxww5ERERERHRK3r69Cnu378PDw8P\nGBgYAABMTU3h4eEBmUxWadcJDAyEtbU1XFxcoKWlBVdXV7z//vsICAiotGvQm8MMORERERER1Qjb\nj9zCpRvxb+RanduaYZRrq3LXr1OnDt59913Mnz8fHh4eaN26NSwtLcs8rzB7XtTvv/8OBwcHGBgY\nwMHBAdOmTUO9evUAANHR0WjVSrlf77//Pv78889y95WqDwbkRERERERElWD37t3YsWMHdu3ahdu3\nb8PIyAhDhgzB+PHjARQMN7e3t1c6Jzc3F6amptL7Pn364NNPP0XDhg0RHx+Pr7/+GhMmTMC+ffsA\nABkZGahVq5ZSG0ZGRrh79+5rvjt6HRiQExERERFRjTDKtVWFstZvWp06dTBt2jRMmzYNOTk5CAoK\nwvz582FqagpBEGBhYYHg4GClcwICArBp0ybpfdGsupmZGZYuXYoPPvgAsbGxsLCwgIGBAZ49e6bU\nRlpaGgwNDV/vzdFrwTnkRERERERElUxHRwdubm5o0aIF/vjjj1dqq+iib1ZWVoiKilI6HhUVhZYt\nW77SNahqMCAnIiIiIiJ6RWlpaVizZg1u376N/Px8yOVyBAcH486dO7Czsyt3O6dOnUJKSgoAIDEx\nEYsWLYLpWZ7dAAAgAElEQVS1tTUsLCwAAG5uboiMjMTx48eRl5eHX3/9FVFRUejfv/9ruS96vThk\nnYiIiIiI6BXJZDIkJyfDy8sLSUlJ0NLSgpmZGby9vfHhhx+WexX04OBgLFy4EFlZWahTpw4cHR2x\nePFi6biFhQV8fHywfPlyzJs3DxYWFtiwYQO3PKuhGJATERERERG9Ij09PXzzzTclHu/fv7/aLHbx\n8u+++67Ma3Xp0gVHjx59uY5StcIh60RERERERERVgAE5ERERERERURVgQE5ERERERERUBRiQV0MJ\nd0/h0d9nq7obRERERERE9BpxUbdq6OHdkwCAhs26VW1HiIiIiIiI6LVhhryaERVyta+JiIiIiIjo\n7cKAvJrJz8sq8jqjCntCRERERERErxMD8mqmaBCukOdWYU+IiIiIiIjodWJAXs3I8zJfvGZATkRE\nRERE9NZiQF7N5BcJyJkhJyIiIiKi8ggPD0erVq3eyLUWLlyIpUuXlrv+0KFDsWnTptfYo5qLq6xX\nMwzIiYiIiIjoZQiC8Eau8/XXX1dqewEBAdi4cSNOnjxZqe3WBMyQVzNyBuRERERERPQvIoriG/sx\nobphQF7NFM2Qi6KiCntCRERERETllZ2djRUrVsDZ2RkdO3aEp6cnYmJipOMZGRmYPXs2OnbsiB49\neiAwMBCtWrXClStXAAC+vr4YOXKkUptFh3pnZ2fDy8sLXbp0ga2tLdzd3REaGlquvomiCHt7e/z+\n++8AgNjYWAwePBg+Pj5SnX79+uHEiRPlupe5c+fC29tbev/3339j6NChsLW1hZubG3bt2gUrKyul\nPqSmpmLy5MmwsbFB7969ERISAgD4/fffsWjRIsTGxqJ9+/awsbGRPpN/Aw5Zr2aKrrLOgJyIiIiI\n6IXdvx/E5dhrb+RanSxsMLTdgHLX/+qrr5CRkYEDBw7AyMgImzZtwtixY3H06FFoamrim2++QUxM\nDIKCgqCtrY25c+dCoVD+935pWWKFQoHevXtj5cqV0NbWxs6dO+Hl5YXTp0+jbt26pfZNEAR06tQJ\noaGhaNeuHUJDQ9GwYUOEhobCy8sLiYmJ+Pvvv+Ho6FiueylKLpdj3Lhx+OCDD7Bt2zY8fvwY48eP\nV7mXwMBAbNq0CevXr4efnx/mzJmDixcvol27dvj666+xadMmBAcHl/vzflswQ17NZKYlvHgjilXX\nESIiIiIiKpcnT57g2LFjWLRoEerVqwctLS1MmDABSUlJuHHjBkRRxNGjRzF16lTUq1cPhoaGmDlz\nJsQK/HtfX18frq6u0NPTg6amJkaNGgWZTIb/+7//K9f5nTp1QlhYGAAgNDQUrq6uuHfvHtLT0xEW\nFoaWLVvCyMgIKSkppd5LcdevX0dCQgJmzpwJbW1tmJubY/jw4Sr1+vbti7Zt2wIAPDw88OzZM/z9\n99/lvv+3FTPk1Qwz5ERERERE6g1tN6BCWes3JS4uDgDw8ccfS2WiKEIul+PRo0dISUlBbm4uGjdu\nLB03Nzev0DVycnKwYsUKnD9/Hk+fPoUgCMjMzERKSkq5znd0dMSyZcuQkZGB3377DR9//DFu376N\ny5cvIzQ0VMqOx8fHl3ovxT1+/BjGxsbQ1taWyszMzFTqmZiYSK/19PQAFAzj/7djQF7NiAr5i9cM\nyImIiIiIqj0zMzMIgoDg4GC1w8cVCgVkMhni4+NhYWEB4EUQX8jAwACZmZlKZY8fP5Zeb9++HRER\nEdi1a5cU2Hfq1KncfWzWrBlMTEywc+dOmJiYoE6dOtIw9rCwMKxYsaJc91Kcqamp9INDYVBeGNSX\n1791QTeAQ9arHVGRX/RN1XWEiIiIiIjKpV69enBxccGiRYuQmJgIAEhLS8Pp06eRlZUFDQ0NuLi4\nwMfHB8nJyUhPT8fq1auVAtFWrVohKioKt27dglwux08//aQU2GZkZEBbWxtGRkbIzc2Fr68vnj17\nVqF+durUCdu3b0fnzp0BAA4ODvj111+RlpYGOzu7ct1Lce3atUOjRo2wevVq5ObmIjY2Frt27apQ\nv0xMTKTP5d+GAXk1I4rMkBMRERER1TRLly7Ff/7zHwwbNgy2trb45JNPcOLECSno/uqrr2Bubo4+\nffrg448/Ro8ePaCh8SIcs7e3x8iRIzF69Gg4OTkhJSUFNjY20vGRI0eiVq1acHJyQu/evWFgYFDh\nYe+Ojo7IyMiQhqe3bNkSurq6sLGxURpyXta9FKWpqYmNGzfi1q1b6NSpE7y8vODm5gaZTCbVUXde\n0bKOHTvC0dERzs7OsLe3x9WrVyt0XzWZIFZkJYHXKC4uDs7OzggJCanwg/U2uXZ6HkRFHgDAwsoN\nDZp0ruIeUUkiIiJga2tb1d0gKjc+s1ST8HmlmobPLL2MVq1awc/PDx06dHjj136dz+y+ffvg5+cn\nbaP2b1ZWnMsMeTVTNENemausi6KIpLjfkJOZXGltEhERERERRUREIDY2FgAQHR2Nbdu2wcXFpYp7\nVTNwUbdqRBQVSvPGlYLzV5T+9D5iovyhqaWHdj0WV1q7RERERET0ct6WxcwePXqEmTNn4unTp6hb\nty769OmDMWPGVHW3agQG5NVI0RXWAVRoX8Ky5GWnAgDk+aoLMRARERER0ZsXGRlZ1V2oFP369UO/\nfv2quhs1EoesVyNyeU6xkspb1E1RdPV2IiIiIiIiqnIMyKuR5ATl1QQrc5X1woXiiIiIiIiIqHpg\nQF6NyLQNn78qmEtSmQE5M+RERERERETVCwPy6kQo+DrqNWoHAMjPzQBQOXPJFXJmyImIiIiIiKoT\nBuTVyfOMuCAUrLWXFBsKeX42rp2ahfjbQa/YNDPkRERERERE1QkD8mqkMBOuKDLfOzMtHgDw6P6Z\nV2q7sE1BQ/ZK7RARERERUeVo3749bty4UdXdUOLi4oKgoFdLBlL5cduz6uR5hlw5m105exMq5AVt\namjwKyciIiIiqg6uX79e1V1QcfTo0aruwr8KM+TVSOEibnUatJLKBKGyAvKCLdU0NJkhJyIiIiIi\nZXl5XHOqKjAgr0YKA3JBQwZdgwbQkhlUWtvy/JznbTNDTkRERERU2Xr06IGNGzdi6NChaN++PT75\n5BP89ddfOHz4MHr16oUOHTpg/vz5UChe7KRkZWWFa9euAQACAgLQu3dv7N69G127dkXHjh2xYMGC\nEhd4XrlyJSZOnKhU9ttvv8HGxgbZ2dnIzs6Gl5cXunTpAltbW7i7uyM0NFSqe/78efTu3Rvbtm1D\n165d4e7uLt3HkSNHAKDMNsrT5/j4eEyZMgVdunSBvb09vvjiC6SmpgIAnj59iq+++grdunWDo6Mj\npk2bhuTk5Ff5GmocRmfVyfMHVxAECBqySt2qTMqQcw45EREREdVQ93fsRHJo2Bu5lrGjA5qPHF6h\ncwIDA7Fp0yY0adIEc+bMwbhx49ClSxccPXoUKSkpGDBgADp16gQXFxe15yckJCA5ORmnT5/Gw4cP\nMXDgQNjb26utP2DAALi5ueHJkyeoW7cugIIAuV+/ftDV1UVmZiZ69+6NlStXQltbGzt37oSXlxdO\nnz4t1Y+Pj8c///yDU6dOqQ38FQpFmW2U1ufs7GwMHz4c3bp1Q3BwMPT09BAZGQmZrCAmmThxIiwt\nLXHs2DFoaWlhyZIlmDFjBvz8/Cr0uddkzJBXIyIKV1nXgIaGVsFc8koasl6YIa+s9oiIiIiISJmH\nhweaN28OTU1NuLi44OHDh5g+fTp0dHTQqFEj2NvbIzIyssTzdXV1MWXKFMhkMjRp0gSdOnUqsb6l\npSXef/99/PrrrwCAjIwMBAcHY8CAAQAAfX19uLq6Qk9PD5qamhg1ahRkMhn+7//+T2pDJpNhxowZ\n0NbWho6Ojso1ytNGaX0+c+YMcnJyMG/ePBgYGEBDQwNt2rSBvr4+IiMjERUVBW9vbxgYGEBHRwcz\nZszA5cuXkZiYWPEPv4ZihrwaKRyyDmhAQ1MGUZRLWfNXJX+eIRcV8kppj4iIiIjoTWs+cniFs9Zv\nkomJifS6MIitU6eOUllGRkaJ5xsbGyutIaWvr19q/f79+2Pfvn0YPnw4jh8/joYNG6Jdu3YAgJyc\nHKxYsQLnz5/H06dPIQgCMjMzkZKSotRfLa2SQ8LytFFanxMSEmBhYQENDdU8cFxcHHJyctC5c2ep\nTBRF6Onp4eHDhzA1NS2xX28TBuTVidKQ9YKvRi7PrZSmFYUZclFRekUiIiIiIqoR+vXrh+XLlyMq\nKgqBgYHSPHAA2L59OyIiIrBr1y40btwYANCpUyel89UFykWVp43SmJmZIS4uDqIoqixW3bhxY+jr\n6yM8PLzc7b2NOGS9GpEy5M+HrAMv5n6/KilDLjJDTkRERET0NqhVqxZ69uyJdevW4caNG+jfv790\nLCMjA9ra2jAyMkJubi58fX3x7NmzCrX/qm1069YNMpkM3377LdLT0yGXy3Hjxg1kZmaidevWsLKy\nwpIlS/D06VMAQEpKCo4fP16hPtZ0DMirE7HoHPKChQ4UlZwhF5khJyIiIiKqdC+zXXFlbHHs7u6O\nCxcuwMnJCfXr15fKR44ciVq1asHJyQm9e/eGgYEBzM3NK9Snl22jkJ6eHnbu3ImHDx+id+/ecHBw\nwKpVq5Cfnw9BELBhwwaIogh3d3fY2tris88++9dlzAWxpHX037C4uDg4OzsjJCSkQl/y2yThTjAe\n3juNFnbjkPwwAsnxV2Bh1R+x0QEAANveq16qXXl+Dn4/Mx8AoCUzQNvuiyqry/9qERERsLW1repu\nEJUbn1mqSfi8Uk3DZ5ZqGj6zb0ZZcS4z5NWI9NuIIEhD1pNiL71yu//EXS5yDWbIiYiIiIiIqgMG\n5NWK6pD17IzHr9yqhqa29JpzyImIiIiIiKoHBuTVSGH2WoAGhOcBeaVfg9ueERERERERVQsMyKsR\npSHrmpW3I51CkV/kGgzIiYiIiIiIqgMG5NVEfl4mUh/fAgBoaRtI+5BXBrFIQA4Aacm3K61tIiIi\nIiIiejkMyKsBUVTg/s09yMlKRsPmPaCjV09a1K0yKBR5Su9THl2vtLaJiIiIiIjo5TAgrwYS7gQj\nLfkv1K7/Hhq/8yGAIsPXK0HxDLkgaFZa20RERERERPRyypWGXbt2LY4ePYqnT59CJpPB2toaM2bM\nwHvvvadSNzw8HMOGDYO+vr4UVFpZWWHv3r2V2/O3yD9xv0FL2xDNW38OQXj+G0klbk+mkCsH5JpF\nVl0nIiIiIiKiqlGugNzNzQ2enp4wNDRETk4O1q5di0mTJiEkJER9o1pauHbtWqV29G2mUORDR78+\nNGV6Upm6/cJFUYQgCC/RfsGQ9bqmbfAk8Sa0tA1fvrNERERERERUKco1ZL158+YwNCwI4uRyOQRB\nQMOGDV9rx/5NRFGhEmirXQ39JbPmhUPWjepbAQAU8tyXaoeIiIiIiMrvyJEjcHNzK1ddKyurKk9q\nenp6Ytu2bVXah3+bcq8cdvToUSxatAgZGRl45513sH379hLryuVydO/eHXl5ebC2tsbUqVNhZWVV\nKR1+K4mKF0PVn9PU0lWtJiogoOLzvwtXVdeS6QNgQE5ERERE9Ca4urrC1dW1qrtRbj/++KPSeysr\nK/z888+wsbGpoh69/cq9qJuLiwuuXr2Kixcv4p133sGkSZPU1rO0tERgYCBCQkJw4sQJtGjRAsOH\nD0dSUlKldfptI4oKoFhAXt+so5p6Fd9DPDc7FXk5qQBeBORyBuRERERERK9VXl5e2ZWqiZrU17dN\nhffWMjY2hre3NxwdHXHnzh288847KseNjY0BAIaGhpg+fTqCg4Nx/vx5DBgwoMz2IyMjkZiYWNFu\n1VyiCEBERnoGIiIilI9pWwC5sdLb369fAzR0KtZ+Toz08s+/7gMA/kl6hH+KX4teisp3RlTN8Zml\nmoTPK9U0fGb/3aZMmYKuXbsiKioK9+/fh6enJ3JzcxEQEIC1a9cCAEJDQxEQEICUlBTo6OigTZs2\nGDdunNTGn3/+CVEUkZaWhjVr1sDMzAxffvklNDSUk3fnz59HQEAAevTogaCgIIiiiC5duuDzzz+X\n6m7evBmRkZHIzMyEsbEx3Nzc4OjoCAD4448/8O2332Ls2LHw9/fHs2fPsG3bNixduhTW1tZwc3PD\n3LlzAQAjRoyAhoYGOnXqhObNmyMkJATLli2T+pKYmIiZM2di3bp1UhxIL5SVmH6pza7z8vIgCAIM\nDAzKVV8QhHJv42VtbQ1zc/OX6VaNJCrkuHZ6P2oZ1UYLW1ulY/du/oEnj14E5G3atIZMp1aF2o+J\neoCk9Ofnt7PDzXNBqFO7Fizb2ZZ+IpUpIiICtrb8HKnm4DNLNQmfV6pp+My+GaeORCHqRsIbudb7\nbRujl+v75a6vra2N0NBQbNy4EVZWVsjNzcWxY8egp6cHW1tbZGdnY/jw4di+fTvs7e2RnZ2NW7du\nKT03LVu2RN26dTFv3jy4u7tj7Nixaq8VExODlJQUaGpq4sKFC0hMTMTo0aNx/fp1jBkzBgDw4Ycf\n4rvvvkOtWrUQFBSEWbNmoW/fvrC0tIRcLodCoUBMTAyCgoIgk8mgo6MDQ0NDmJmZwdbWFidPnoSV\nlRV27tyJ9u3bAwDS09Oxf/9+6OjowNraGgCwZs0adO7cGb17937Zj/qtFhcXV+rxMoesi6KIPXv2\nICUlBQDw6NEjLFmyBLa2tmjUqJFK/cuXLyMmJgaiKCIzMxM+Pj5ISUmBk5PTS97C261wNfXic8gB\nQCj29eTnZVa4/az0R9JrDc2CeemFq64TEREREVHlGTRokLR2lra26lbDMpkMd+/eRWpqKnR1dVV+\nxLly5QqGDh2KyZMnlxiMF9LQ0MDs2bOhra0NCwsLjB49GocOHZKODxgwAEZGRhAEAX379kXLli0R\nHh6u1MasWbNgaGgIHZ2SR+EWTawaGhqib9++OHDgAABAoVAgMDAQHh4epfaVSlauDPm5c+ewYcMG\nZGZmom7duujatSsWL14MoGDlwIULF0orAkZHR2PevHl48uQJ9PX18f7772PHjh0wNTV9fXdRg0kP\nuJqAHMVWXs/NSoGeYcU+R4XixR7kGpoFXzcXdSMiIiKimqiX6/sVylq/aY0bNy7xmK6uLrZs2YLt\n27dj7dq1sLCwwMiRI+Hi4iLV2b17N1q0aIE+ffqUeS1jY2OloN/c3Fya+iuKItavX4+goCAkJycD\nALKysqQkK1AQ0L9MjObh4YFRo0Zh3rx5uHTpEhQKBbp3717hdqhAmQG5IAjYsmVLiceLrxw4YsQI\njBgxolI696/wfKE2tRnyYgF5TlZyxZt/3v67NqMhCBrQ0JAxICciIiIieg2Kz/UurkOHDujQoQNE\nUURISAi8vLzQtm1bWFhYAACWL1+OLVu2YNKkSVi3bp3aLHuh5ORk5OTkSNntuLg4KcA+cuQI/P39\n4efnB0tLSwAFGfPyTiMuVDweAYDWrVvDwsICQUFBOHXqFPr37w9NzYrvBEUFyr3KOr0eIgr+KNQF\n5MWz5jlZKap1ympfkQ8tmQGM6rcEAGhoajMgJyIiIiJ6w5KTk3Hy5Emkp6dDEAQYGhpCEARoab3I\nkerr62Pr1q2Qy+UYN24csrKySmxPoVBg1apVyMnJQWxsLLZv3w53d3cAQEZGBmQyGerUqYP8/Hz4\n+/vjzz//rHCfTUxM8ODBA5XyQYMGYfv27Th//jwGDhxY4XbpBQbkVUxUFMwhVzdkXUCxDHnmywTk\ncggaL/7IGZATEREREVU+ddnkohQKBfbs2QNnZ2fY2tpi6dKlWLFihbQuV+H52tra2LBhA2rXro1R\no0YhPT1dbXtmZmZo2LAhnJ2d4eHhga5du+LLL78EAPTv3x9t2rRBr1690K1bN9y7dw92dnYVvodp\n06bh+++/R8eOHbFw4UKp3NXVFXFxcbC1tUWTJk3KbJdK9lKrrFPlEUsZso7nAbmWzAAKeS7ysp9W\nuH2FKIeg8WIIiYamNvJyn71UX4mIiIiISL2QkBCVsv79+6N///4ACrLNO3fuLPH8P/74Q3qtqakp\nbZVWmtGjR2P06NEq5bq6uli3bl2J59nb22P37t0q5bt27Sqx/0UZGBigXr16GDRoUJl9pNIxQ17l\nSh6yLpfnAAA0tXQhaMqQ+SyhwvM+REU+BKFoQC6DQs5V1omIiIiI6OUcPnwYeXl53OqsEjBDXsUK\nh6yrG+KiyH8RkBcu6Jaa9AfqNCj/ypKiQg6NYkPWRUUeRFFRQlaeiIiIiIhIPQcHB2hpaWHZsmVK\n89/p5fATrGIiCueQq65MKM/PBgBoaOlKZelP71cwIM9XGrIuZctFESh9mgsREREREVVDJQ0lfxPC\nwsKq5LpvK6ZIq5pYcoY8Py8DAKCppSOVFc12l0fxOeSF1ylc3Z2IiIiIiIiqBgPyKvZiyLrqV1HX\ntA0AwMj4XalMqEBALs/PBkQFNLX0ipQ+D/wrOBediIiIiIiIKheHrFexwiHrgpoh66ZNP4BhXUvU\nqmeJ2OjDACqWIc/LSQMAaOsYvSgszJAzICciIiIiIqpSDMirmCgWziFXHbKuKdODkfE7yoVl7G9Y\nVG52KgBAplP7xenSxHFFhfpJRERERERElYtD1quaWPKQdXU0iyzwVpa8nOcBue6LgFwK6JkhJyIi\nIiIiqlIMyKuYWM6AvMl77s/rqQ5tL4m6Ietc1I2IiIiI6N9h/vz5mDt3rvS+ffv2uHHjRpX05erV\nq7C3t1cqW7JkCTp16gQbGxukpKTAxcUFQUFBr60Pr7v9l8Eh61WscFE3lBGQFy7mJg1xL4fc7IKA\nXFZ0DjkXdSMiIiIi+le6fv16lV3bzs4O4eHhSn05dOgQ/ve//6FOnToAgKNHj1bKteLj4+Hs7Ixz\n587B1NRUKq+s9isTM+RVrnwZcuElhpqrH7Ku8bwZBuRERERERFQ58vLyKlQ/JiYGDRo0kILxyiSK\notptpasjBuRVrLxD1qVAugKLseVmp0IQNKElM3jRjMBF3YiIiIiIKluPHj2wceNGDB06FO3bt8cn\nn3yCv/76C4cPH0avXr3QoUMHzJ8/HwrFi3+Hz507F926dYONjQ1cXFyUMrj+/v5wcnJCSkoKACA5\nORlOTk44ePBgiX3w9/dHr169YGdnh1mzZiEnJ0fpuJWVFa5duwa5XI4JEyYgJCRE6ficOXMwb948\n6f0vv/wCV1dX2NnZwd3dHZcuXZKO+fr6Yvjw4VixYgU6d+6MiRMnIjc3F97e3nB0dISdnR0+/PBD\nBAcHAwB+++03tGrVCgCwdetWeHt7IzY2FjY2NhgxYoT0GR45ckS6RnR0NEaPHg0HBwd07NgRo0aN\nKtdn5+bmBgD46KOPYGNjg40bN6ptPzw8HIMGDYKdnR369u2L/fv3Kx1r1aoVjh8/Ln1/U6dORWZm\nZomf/8vgkPUqVt6AXCj87aQCQ9bzctIg0zEq9usQtz0jIiIiopop7s+jeJJ4841cq65pG5i3dKnQ\nOYGBgdi0aROaNGmCOXPmYNy4cejSpQuOHj2KlJQUDBgwAJ06dYKLS0G7dnZ2mDt3LmrVqoWgoCDM\nmjUL7733HiwtLfHpp58iIiIC//3vf7F582bMmDEDXbp0wYABA9Re++rVq1iyZAk2bdqEjh074tdf\nf8X8+fPh6uqqUldTUxNOTk4ICAiAs7MzACAzMxPBwcHYtm0bgIJgfNu2bfDx8UGLFi1w/vx5TJo0\nCb/++issLCwAABEREejevTvOnTsHuVyOwMBA3Lp1CydOnICRkRESExORnp4OoCAxWBiXjB49GsbG\nxti0aZMUsBeXlJSEYcOGwdPTE76+vtDS0sKVK1ek46V9docPH0bPnj0RHByMBg0aqG0/NjYWnp6e\n+Prrr/Hxxx/j//7v/zBmzBjUqVMHH374IQBALpcjNDQUR44cQWZmJj7//HPs3r0bY8eOLf1BqABm\nyKvYiznh5RuyXt5AWhQVyMt9BpmukVL5i+CcATkRERERUWXy8PBA8+bNoampCRcXFzx8+BDTp0+H\njo4OGjVqBHt7e0RGRkr1BwwYACOjggRa37590bJlS6V51gsXLkRiYiIGDhyI5ORkLFq0qMRrHz58\nGB999BEcHBygoaEBNzc3tG7dusT6H3zwAc6dOydl4I8fPw5TU1PY2NgAAHbv3o0JEyagRYsWUv2O\nHTvi2LFjUhuNGzfGiBEjoKWlBR0dHchkMmRkZOCvv/6CXC6HqakpLC0tX+qzPHz4MJo2bQpPT0/o\n6upCS0sLDg4O5f7sgNJjp+PHj6NVq1Zwc3ODhoYG2rZtCw8PDxw4cECqIwgCZs6cCV1dXdSrVw/O\nzs5K319lYIa8Cj1JvIl7N3YDAASNcg5ZL2eGPD83HRAV0C6yB/nzhvC8oYp0lYiIiIioypm3dKlw\n1vpNMjExkV7r6elBU1NTaY60np4eMjIyABQEi+vXr0dQUBCSk5MBAFlZWVKADAC6urr49NNPsWLF\nCnz77bfQ0dEp8dqPHj1SCcDNzc1LrG9mZob3338fv/76K0aMGIGAgAC4u7tLx+Pi4rB48WJ88803\nUn/lcjkaN24s1Sn6GgA++eQTJCcnY9myZXjw4AEcHR0xc+ZMNGnSpMR+lCQ+Ph7NmjVTe6w8n11Z\nHj58qPL5WFhY4MyZM9L74t+fvr6+9P1VFmbIq9DTxy9+XSn/om7lC8hzs58v6FYsIOe2Z0RERERE\nVe/IkSPw9/fHDz/8gCtXruDKlSto2bKlUlb37t278PX1xRdffIHVq1dLwac6pqamiI+PVyor/r44\nd3d3BAQEICYmBjdu3JDmXgMFAfu3336L8PBwhIeH48qVK7h27RoWLFgg1dEollTU0NDA6NGjcfDg\nQZw9exY6Ojr46quvyvV5FGdmZoYHDx6oPXb06NFSPzsNDY0yRxY3atRI5fOJjY1Fw4YNX6q/L4sB\nec9EuZkAACAASURBVBXKy3lW5F15M+TlC6SlFdZ1jIodKZyLzoCciIiIiKiqZGRkQCaToU6dOsjP\nz4e/vz/+/PNP6XhWVhamTp2KESNGwNvbG926dcO0adNKjAc++eQTBAcH4/Lly5DL5Th8+DBu3ix9\nvn2/fv3w4MEDLF26FJ07d1aabz18+HD4+voiOjoaAJCdnY2IiAjcv3+/xPYuX76MW7duIT8/H9ra\n2tDT01MJ2svr448/xv3797F161ZkZ2cjNzcXYWFhAID09PRSP7t69epBU1OzxIC+8N5v3bqFw4cP\nQy6X4+bNm9i/fz8GDhz4Uv19WQzIq1B+brr0uqxl+aVF3cq5OnpmWsGvPdp6xbYRYIaciIiIiKjS\nVXSbrf79+6NNmzbo1asXunXrhnv37sHOzk46vnjxYpiYmGDSpEkAAG9vb6SmpsLHx0dte4WruH/1\n1Vfo2LEjLl26hL59+5baR0NDQ/Ts2RMXLlzAp59+qnRs4MCB+PLLLzF37lzY29tLq8jn5+eXeE/J\nycmYNWsW7O3t4eTkhIcPH2LJkiXl/kyK9q9BgwbYvXs3Ll26hK5du8LJyUlacK6sz05HRwdTpkzB\n9OnTYW9vj82bN6u0b25uji1btuCnn35Cp06dMHv2bEybNk1a0O1NEcRqstx2XFwcnJ2dERISUupc\nh7dJ5MWVyMlMAgCYt/wYpk2dSqyb9s+fuH1tKxq/8xEa/ce5zLbv3tiNp4k30fqDr6Ct+yIof3DL\nH//E/4ZWnWdB18CklBaoLBEREbC1ta3qbhCVG59Zqkn4vFJNw2eWaho+s29GWXEuM+RVSBTl0muF\nPKeUmgAEzefnlC9DLsrzAACaWrrF2uEq60RERERERNUBA/IqJCpeBOR5RYavq1PRRd0UioKAXEND\nptwO9yEnIiIiIiKqFrjtWRUSFfmAoAGjeu+gYbPupdYVKriom0KRD0CQFoMr0tDzizMgJyIiIiIi\nqkrMkFcR8f/Zu/M4Oa7ybvS/U0t3zy5pRvtiyZJsebckA8bsAW4gWLnwJrxcuDfATQhxEpKblU8W\nyEte3gskITd5wxIgMSS5cW7isBgM2GBsYxsbI1u20b4vI42W2dfequqc+0ft1dXLSKOZnpnf9x93\nV1dXlzwz1eep5znPURK2NYVMtgtbd/4qMrnkeuEJQal54yXrmm5WNpcImro1dhwiIiIimn8cu4ip\n0d65Pg0iqoMB+RzpP/MUAKBcHGlo/zBD3mjJug2hVRZA+CXrzJATERERLVzHX/wKDu/+DKbGGJQT\nNTMG5HNkavzc9N4w7ZJ1q2L+uHscLntGREREtNBNjpwEABSnBub4TIioFgbkc8Sxi9PaP8xsN5gh\n90rWqx+HATkRERHRQjJ0/nkc2f15SG+1HSCssiSi5sS/0Dlil6emtf90m7opaUNLKVkPmrwxICci\nIiJaUE7v/w9Mjp7C+NDRYNv40JE5PCMiqocB+Rxx7ML03hAE0o0veyZSStYFm7oRERERLWhWaTx4\nPHR+zxyeCRHVw4B8jvjN2bbs+JWG9p9OIK2UcjPkKSXrYMk6ERER0aIy3cpMIpo9DMjngFIKVnEM\nrZ3r0dWzrbE3TaNkXUkbAFJL1gsTFwAAwxd/2uDZEhEREdF8oxu54LFVmpjDMyGiWhiQzwHbmoJS\nTv21xyMEGi9Zl9Jt5JFWsj42eAgAMHD26YY/m4iIiIjmj95DX481ELYtZsiJmhUD8jlgFccAAOZ0\nAnK/ZL2RgNzrrKnplRnyTbf87wCA9qXXNvzZRERERDR/MSAnal4MyOeAbeUBAIbZ1vibGuiO7gfi\ndnnSO35rxT4tHasBhGtTEhEREdFC5SZ0OIecqHkxIJ8D0ikDAHQ9U3dfpRTO3v9V5E/3es/TM+SD\nfc/hxUf/BBMjJ1GYvAgAyLWtqtgvvdEbERERES002dZuAGEyiIiaT8pC1XS1+QG51kBAPnHkKHrv\n+/+Ar2nI/crGqgF537HvAgCGzj8Pw2wHALS0pwTkWviZSqmgFJ6IiIiIFpZsSzdK+UGWrBM1MWbI\n54AzjYDcyXt3NINK9fSAPMy6Z1H0MuQt7Ssr9ovNK29wTXMiIiIimn9aO9cCYMk6UTNjQD6LLp15\nEhdOPBIGz0a27nuk5c4L9+eOO3Y51jUzFGa6C5MXYWQ6YGQq56hreviZUjrTOHsiIiIimk961r4C\nAEvWiZoZA/JZoKSDi6cew7kjD+L8ie+HJespy5IlOYWCdxD3PxPDx/DSYx+t/AzlBtfSsVAujqRm\nxwG3W3vX8htj7yEiIiKihaVn7SuQaVkKIXRmyImaGAPyWTBw9sfoO/ZQ8PzS6ScAAEKrP4XfnvQu\noHWqy5W0AQCO7QbwaR3WfULo7nsYkBMREREtCCpR+Sg0HUII6GZLMD4koubDgHwWFPP9sef+RVFo\net332pPuEma1ljuLHdvLvtcK9v3PTV64iYiIiGh+8seAPn+8Z1t5lPKDVaY8EtFcY0A+C6pdALVG\nMuQTE+6DRIa8WjAdlsPXCMiDDDmbuhEREREtBNIpxZ4HY0FvvHfx1OOzfUpE1AAG5LPAsdID8sZK\n1iej7wi3W2HpUTQ4l0GGvPr89DBDbtf9fCIiIiJqfjKRIU+u5uNYLFsnakYMyGeBk7hj6fMz1bXY\nE25ArmUysQvr3if+HCOX9rnHj2TgpeN2ZddqlMML4f7YmSEnIiIiWhjqBeRCr58IIqLZx4B8FlRr\npFGvZP38g9/ByJ4X3H2zmYpl0gbOPuMdPwzIrbJb4t5QhpxN3YiIiIgWBMeuE5ALBuREzYgB+Sy4\n3JL1U//45eCxkjK2hjgAyKCzenh8x1tnslaGXBNs6kZERES0kNTNkAsQURNiQD4Lqpas1wiaVaKr\nunJkRYY8udRZ/NjMkBMREREtFsmAXE8E5NFeRETUPBiQz4LL6bKuHKfiuZ7IkPtzwNOO31CXdWbI\niYiIiOadtD5A1TLkS1fdDgDItiy7+idGRNPGgHw2VGmeVrOpm5QVz7VEhtwPutMC8lrZ97CpGwNy\nIiIiovlCShsnXvonvPTYn6GUH4q9lqzI9APyJctvBMBmvkTNigH5VSYTS4ut2fKW4HG1oPnI/ov4\n7jcOIFq0rhynYg65X5YuUzLdWkPLnvHCTERERDRfFCYuYLT/AKRTQqkwEnut6hxyb/J4cjokETUH\nBuRXmV2eij1fvv6uuu/5j688hxd2n0Pe7IxtT5asZ3JLAKSvJ16rYVxQss4MOREREdG8ER/zxRMr\n1eaQi2C4z0QMUTNiQH6V+V3PfbW6nycpEf/xJLtlwsuhp5UgaTXWmmRTNyIiIqL5JzrmS2a8HWbI\nieYlBuRXWXJ+d8154wl2ouw8WYbuX5RTM+Q11ppkUzciIiKi+SeWTEkE2NVK1v3eQdV6GhHR3Kq9\nEDZdMcd2G2wsXXkr1l2/CxCN3wOxtXhGXNNmKEPOknUiIiKieSeaTFGJEvTkuC4ZkLOpG1FzYob8\nKvM7XrYvvRaZ3BIIUXsNyGg5kUxkuTWRzJB7AXlKprvmHPJIUzerNMkLNBEREdE8UCtDnqyYDDLj\nQUDOknWiZsSA/CqTXoY82ZCtmnIpcuczEbwnA3K/9Cgt093IOuSlwiD2PvHn6D34dQDA2cPfxNkj\n32roPImIiIhodsUy5ImESjJBU7LLODt2PkwGsTKSqCkxIL/K/Ax5cg3xavL5cA1JhXhALhCff375\nGXL3xz45choAMNj3EyjpoL/3R+g/81RD50lEREREsysehCfmkCcy5J/5yVfw+w9/HOcn+r33MkNO\n1IwYkF9l0mvqpkcC8q07PoBtr/jt1P3HxsNl0pJd1lU5EXh7F+XRgYMAgI03vyt4KZkhl0riYP8x\nSCWDDHm5OBp+7uChhv49RERERDQ3YkmYipL1+Dhx97mXAAC9Y+fd17nsGVFTYkB+lflLUGiRkvXO\nnuvR1rU+df/Bi5eCx36GXOjenO9ivHum8u6MlvIDAIDWznXBa8kM+VcPfAcfe/z/wSPHnwoC8mg3\nzhMv/XN4XN5BJSIiImo60WmKyfGaP4d88+3vx3V33APN0ZGb7ELemz6ZDOCJqDkwIL/KgjnkDZas\nn/rsvwaP/Qy50dEBAHAKpfjONeYOJQPyH556FgBwaPB40NQtuV5leJzKZdSIiIiIaG7F+wYlStaV\nAwgNS1bchI5lm7H+5HZsOfgqTA35PYeYISdqRgzIrzJ/DnmjTd0OrXx18NjPkJtdnQAAWYivaa4S\nF+KWjjXB42TJ+kRpEgDQnmmNrENuAQCyrctj+ybXsSQiIiKiuadkGFRXNnWzoYmw31DHyAoAQL5f\n+jtc/RMkomlrKCD/m7/5G7zxjW/Ezp07ceedd+IDH/gADh2qPuf4ySefxN13343bbrsNu3btwtNP\nPz1jJzzf+OuQN9rULcrvsm52dbnHmiomdnADcsNsQ65tRWxJtWSGvOQF2bZ0gqZuvg03vD1+zgzI\niYiIiJpO7WXPnNj4T2ruvsWSnyFnyTpRM2ooIH/729+Ob37zm9izZw+eeOIJbNmyBR/60IdS9z17\n9ix++7d/G/fccw/27NmDD37wg/jQhz6E8+fPz+iJzxdymhnyKOX9eNbsehsAwMkX4q9Hlj0TIt6B\nPfp8shw2inNk5b66kUucMwNyIiIiomYjvepGoLJSUko7mJYIAEp3A/KhyQn3OTPkRE2poYB806ZN\naG9vBwA4jgMhBFatWpW67wMPPICbb74Zd999NwzDwK5du3DjjTfiG9/4xsyd9Tzi2CUIzYhdIBul\nhMCat/88Mj09AAA5XgaEhp61Lwcggjuj7h1R9/grrnkN2pdujmXLh/Oj0GwDy/u2wC47FeeSDNCl\nU8LA2WfQd+zhaZ8zEREREV0d0gn7/IwPHY29plQiQ+4F5JlCq7cDA3KiZlR9seqEb3/72/jYxz6G\nqakpbNmyBV/+8pdT9zt8+DBuuumm2LYbb7wRR44cubIznaekU7qs7DjgNnUTmoZzAzZKegucySns\neNOnIITAYN9zwfx0GcmQr7/+5yuOM16awPoT29Exthz5jkmI7YmAXEsG5GX0HnJvoKzd+pbLOnci\nIiIimlkqkiEfufgSCte+ES3tq7zXbGia6T5WKsiIZ/Pu1EcFCaUkhGALKaJm0vBf5N13343nn38e\nP/rRj2qWrE9NTaHD6wru6+zsxOTk5JWd6Tzl2KVpzR/XY6VIAuNlA/fffxi71++CPTkVyXwrFCbO\n48DTfwUoWTMDP1qcQMeY27hNpeybzJA7dliyzvlGRERERM0hWrIOAAef+evgcXQOuSVtaI77WCl3\n7Dh47if46eMfm50TJaKGNZwh93V3d+OjH/0o7rrrLhw/fhxbtmyJvd7W1oaJiYnYtvHx8aDkvZ79\n+/fj0qVL9XecL8oFQMthz549De0uI3ctldBwtn8UQDvKRitGnt+D559/PlaOXpzqBwBMTk5V/Yz9\nQwcBLAMAFIoFHNh/MPb6gQPx5yeOHw4ev7DnOUBMv9x+sWj050rULPg7S/MJf19pvrnqv7OTF6t/\npl1GWRbx/R8/ipyWjQTk4b6OXeDfFcXw9+HqGxgYqPn6tANyALAsC0IItLW1Vby2bds27N69O7bt\n4MGDuOuuuxo69s0334x169Zdzmk1pZceewCZljbcuHNnQ/t/574+98opBBQEelauAobD1zdM5rHi\n9a/Fnu//e+x9nV1LsXVH+mfs+9HZ4HFGy+HW227H3iceDLbdcuvt2Pfkt4PnGzdeg9P7fwwAuP32\nWyuavpFrz5492Nngz5WoGfB3luYT/r7SfDMbv7Mn9x7GSCIm9z/zhR98FSPOJP6x96v4yGv+L2hq\nxN1BidT9iXidnR3nzp2r+XrdknWlFO677z4MD7tR4cWLF/Hxj38cO3fuxOrVqyv2f/vb3479+/fj\nu9/9LizLwre+9S0cPHgQ73jHOy7znzC/qZSu5tVI6QbimrekhRIazO7u2D6Fs2fT3lpzPtDkRCn8\nDBsQ3vwiX3LNcr8zPABcOPFIQ+dORERERFeXknbsuV+irpSCkg7yljvt8GR/GACoREBORM2loTnk\nTzzxBHbt2oXt27fjPe95D5YvX46/+7u/AwA8+OCD2LFjR7Dv+vXr8ZnPfAaf//zn8bKXvQz/8A//\ngM9//vNYs2bN1fkXNDm3eUZjAbltu4G4ptyLrRRa0GHdp2XT56PX+oxyPlyzUsnKZc6Swbxthcur\nXTrzZANnTkRERERXm3Tic8iDpcyUBKCglVpww/NvxsiIt+RtzqkIyNkfiKi51C1ZF0LgS1/6UtXX\nd+3ahV27dsW2vfrVr8a3v/3tKu9YPNwOl07D3SzLlnuRzdpTsPUcCkYH0NYZ2ycMyAUQWX9SN1ti\n+zmlEqyREeRWrUIpEZBH56AD7t3Vzu7rguUzbCvf0PkSERER0eyRiQw5lIRSClK6Yz2z0A5dmhg+\nmwfQikw7oMaSR1Fwx5FE1Ay47sFV5QbMja5B7gfkulaAJm0Mtm/A1+97MbaPZrrl5tvf9InYdsOM\nz+ff/6d/hj2/9puYHOjHuYH+8Iy8G6krr3ltsE1oOrbu/FVsvv19AAAnEZDzTioRERHR3FOJLuve\nRji2O3azbHfMWSy4gXvbkgwUkhlyrkdO1EwYkF9Fyrtb2WiGvFh2L7KGULDMlAsuAMNrpJec922Y\nrbHnk8eOAwDOnTgAw8pEzsn9r9DDeeT++fll79GSdQBQygERERERza3ksmeAO06ziuMAgFLRraS0\n8m4ypXNptnIOORMtRE3lsrqsU2P8QLbROeQDo243TFPYcLISekrluNDTg/slK25MP+Z9X8W1aivG\nvEp3PyDXUs7JD8yTGXLpWBU3AIiIiIhodknHrti2/+m/glUcBQCUym7CReY1aAA6unJQKr4cMSsf\niZoLM+RXkV8SJLTG/jf3Dbpr1GU1B0JPv1gqWbl96arbkWtbkbq/1nsRGSsSTPsZ8pQA2y+tT84h\nl0657rkTERER0dWVVrLuB+MAIKU75pSWmxVva8vA0ZJBPEvWiZoJA/KrKCxZbyxDPjnhlopnhUTV\nt6Tc1Wzr2lD1mBIaBtqvCTd41edpZfT+eTq2V7Lu7ZNWHkVEREREs0tKG9nWHmy65T3o7L4u5XU3\nEBeWO4Zra2uB1OJjR2bIiZoLA/IZZlsFvPjoR9B76BthhrzBgHxqqggAyGgOdCO9+6Uf5Cc2Vj3m\nRHZZ8FgoiUzRz9qnZMhFPENuZtoBMENORERE1AyktKHpJpat3g7DG6fFXlfu0N4sur2FOlpzqFyG\nnAE5UTNhQD7DBvt+AumUMHD2mTCz3GBTt8KkG/hmNQmtSkCeliFPu9NpdrnLpY3lwlJ2oSSEf+c0\npfO7X1qvvCU1jEwHgMo1L4mIiIho9inHgqa588TTEj5KxseP7W2tFcNQdlknai4MyGeYigSvfnO0\nRpc9Gx6ZBAC0GoBuVsuQp93VrLywZleuBACM5ZYDAO46/dV4QJ7a1C2eNTczbkd3BuREREREc0sp\nCaUcCD8gTxlfykQ6vLO9DUokxo4sWSdqKgzIZ5iMlJRbJberpX8ns5ZTw2dRPp+F4RSxIqtSS9YV\nACUrg++0DLly3P0KZgeEsnHt234GGiT8uqW0i7hu5mLPDT8glyxZJyIiIppLfod1f+UbTa8cX/pN\n3Xyd7a0oq/g4jhlyoubCgHyGRbtfWiV3TUhNz1TbPfD1J38Iw85h5eQZ6LqA0NMCci02X7xj2RYA\nQLa1u3Jf76Jt6xkYysLy17wKQoUBedqyZ7oRX8vcMJkhJyIiImoG/hhzrJzHbzz4pyg5lX2FkiXr\nGdOA7hg4fHRjdK+reJZENF0MyGdYPEPuBuR6yh3MqP6pIfQdmgIArJw4AQiRmiGXQsPwc3vQ//gP\nAQDX3vZLuPa2X8LSlbdW7KtsB1pLCwpmFqpDh57LQVMSgAYpZWqGXNPNWCm7YboBOpu6EREREc0t\nvzfRoaGTGMwP4/T4hcp9VDi0b7vOghACmVIbTpzagP5CDwB2WSdqNgzIZ5jfEA0AyqUxAPUz5A/u\n/wE6hlcg2yawpNgPoWnIraosJ5JCx8hzz+PY334G0rJgmK1YuvJWCKFh8Jkf4/jn/j64yCrHhsqa\nUMhAa9WhmUaQIf/usceqzCEX0M2W4LnODDkRERFRU/DHY7YXT2ta5fgyGmubmfhYT9pa5U5ENOcY\nkM8wGQnIh/qeA1A/IP/p3jPQpYnbbl0DAQCaQPs6DcXcZGw/O3Kc4oXwrqgsl3HkLz6NS9//AcrD\nwwAA5Tiw9AwEBDItOoRpQsDNkF+Y6E9dhxwAdCMMyIM55MyQExEREc2pUn4QADDhKGTzHak9igw9\nrNQ0zXhArgm3+lKlNAMmornDgHyGKWVXbEsLyM+NX8BfPPV5HB86jdwlt4TophvcNcM1MwNT11Fq\nHY+9p2B0BI+dQjF4PLLnhcj2AiaOHMWFCQMHMm4p+5KOdmimCU1JKGhoiWTBk/TIuRrefmzqRkRE\nRDS3psbOAgBKfRuwdf9rUBoPA+41W96KYWzCpYGwr1A2G189R9e958yQEzUVo/4uNB1p5d1pAfkn\nn/wcBqaGsOf8PmwbfxNUSxndXSZ6AWgZE1uWbcSLznDsPQWzAyi4j51SKdheGhwMHjv5Ak7/y7/i\nxbU/G2xbsWQJhGG6JevQ0N2ypOr5a0bWeySg6dmq/yYiIiIimj1T425A7pzdCAAojCvA68fbvmQD\n+spFAGGGPJOJZ9CF4efhGJATNRNmyGdYWnl3WkA+WhgLHgulAaaEstzAVzMzeNna25CRbkDsaG7W\nvWCGGXJZDj/HnghL251CAfZkvNR948YV7hxySCgIlB0LEOnrnPvn2tq5NlhOgwE5ERER0dwqTQ3A\nyLSjbHnjysgoXjdbUSrFqzT9DPnW17njRxFMIWfJOlEzYUA+wxy7WLEtbZ1IYRtY2Xs9OkZWQCgN\nQguDbC1jQgiBFu+2Z7HNDd5jAXkkQx4NwJ1CAeXhkdhn3XDragjDcLusCx1Fu1S1XMkPyB27BMOb\nT25bU/X/4URERER01SjlxOaND5XC5I5htqJcjgfkuaw7pjOz7nA/GPmxZJ2oqTAgn2GOXYJuxtfz\n1lMy5D1ntmD5xc245tgd0JQGaID0MuTCdC+2ynKz2KVcHkrYKBrtwfvHDx2Gku4dzomjx4PtsmzB\n7Aj3a93gQDc0CCEwkXXnqOfHq2e8/XOVThlmthOAgFUcq7o/EREREV19SslYU97zk/3BY8Nsg1WO\nZ75zOXc8qWleMzcVHoeImgcD8hnm2MVg/W5fWsl658jK2HOhRzPk7v7Kcn88UrcglIGJXDds787o\nhQe/g4sPPQwAsMbDgFnZFpxCETnb3fahe34uPDdveYyhvUC21W0k19q5LvVcpVOG0HQYZisz5ERE\nRERzTCkJO5LdViqcfqjpJqQVz3y35Nypj5qmJfZnhpyomTAgn2HSLkLXs7FtyYBcKQUh4//rhaaC\nDLnmN+Fw3Auno4clSOe6tgWPR154yT2eHb7uFIooj4wAQsHR7aBcKXaOmoNsazduvOsPcP3Lfj1x\nrn4jt7J3XjqUdCqOQURERESzRymJocJo8FwmxpJOIiBvy+UAhAG5DDLkDMiJmgkD8hmklISUFjQj\nFwS2QGVAXrCL0GS8wb0SCrIcNnUDAK3VDYStbCGyY+RN3o3OaEBeHh0FlIKj6YAWL0nqtrzSplY3\n2G5pX1lxbrrhZeeV+9lC6MFjWnhsK4/T+/8d5eJo/Z2JiIhozigl4USCac2Oj+GS+ZMwQ+6XrPvv\nZUBO1EwYkM8gx3YbrelGFre+7s+C7WGjNIliwcJYcQIC8S7nSigoK2zqBgDmqwZwae1RjHb3Bfvp\nKpz/7c8jktEM+VTe3QYd0OMX3A22u1yGbVefO7R0pbt2+brr7nY/Q9M512gB6zv2EIbO78HJvffN\n9akQERFRLdJBS2Ra5JL+DfGXZSJD3uJmyPUgIE8G5kTUDLgO+QySXod13cgFmWYAgBIYfPrH+MID\nQ5BSYe2WXMqbUZEhL2YnMbD2ODqy7VD6GITThawdyZb7GXIrDMjtKXe+txQGhBG/VWrqbgBfKyDP\nta3Ajjd9CkLT3Y8QGkvWFzB/agIb9xERETU3pSSiMbdUieSOEw+021vc1XLCOeTBnlfrFInoMjBD\nPoMcL7hJloEPPvU0jvzlp4M7l33HK5dGUwqQiQx53nKD781LN2Bw3QV3v8h7ZMndP5oht6emoCCg\nkIFITB83DW9OulU74+0H44AXkDNDvmD5P2tOSyAiImpuSklEhnzQRDywTg7X2lr9DHkiIGeGnKip\nMCCfQUq6V0lNixceFPr6IFP+Vy+/WYfscoNuoUSQIfeXPcuX3dfaMq2w4B5bRZa7yK1eBeU4gJTQ\nvMYdI889H3RiT/SWg2G473Xsxi/EnEO+sPnVD0JjsQwREVGzcpMjCk4pzIqLioA8/tw03O/2ZIZc\nMUNO1FQ4Cp9BfibZn9u97RW/BSUdDH/vOZSMlor9W9rNyJtFpMu6m9oe8cqIl+S6oMQld7fI3HMl\npRuQA9BbcpBFN/PurzeeaY3fBNA15ZbGW9MIyNllfUGTVW4iERERURPxomnpRMaByZJ1iViHIiHc\nZ3qyqRsz5ERNhRnyGRR0JvfKgNu6NqB96SYITUPZaK3Yv3VkCMK/KAoVrkPuZciXt3YDADZ0rYHy\n74KKyIXYkUG5ut4SBvyTGTcg79kQvwlQPH7MPa+RcsP/JjdDzpL1hcrveyA0s86eRERENFf8sZiS\n7jjwvb/xSoyOdeDEqbXYtPPXvNfS36vpyTnkRNRMGJDPICW9K6FI/G8VAiW9MiDPPf4MWsZL/i5B\nhtvPkP/J6z6E929/J16/6ZXobl3ifkb03qeUUF5WPRqQF802AMCK5V2xz9O8GwZGqfF/k5vt/stf\nqAAAIABJREFUVwzKFyjbcrvyV/0WJyIiojnnJ32kdEvOr7m2G6K7jMNHNyPbvsbdp8pXuT+H3PFK\n2tllnai5MCCfQdG1u6OEEKkl65q0oAcN1gQmT54CNA251asBAMvbuvFz1/0MhBC4ccVWd7ftN2Dr\n7/yW+3lSwvGCeLOjIzhu0XAD8nUre2Kft/zOOwAAJSN+fjX5845Ytr4g+QG5lFadPYmIiGiu+IkR\nKQWgSQghgvzPU6d3Y+/FQ7GAPFJQGcwhHy74K6rwJjxRM+HE0RkUziGPB7wFW8PR5XdW7K8rB7ru\n/gjWdqzE5HMn0LbxGhitKcG7Hxhfvwldt9zsPpYStrfuuNHZGexbMtqg4GB9z8rYMZa/fAfw4Bgg\nNUgloSUz+Sn8fwsz5AuT4wfkDgNyIiKiZhUtWVeam+H2h3FfeeE/oTSJ6+VroYTEf33vy7Bm/ZLg\nvYY3hmyZXAJggrXrRE2GGfIZFM4hj/9vPXQx/X+zphxkvdi9VSkoy0LHtuvT9/UackipwtueSsIp\nuAHVsNmNE8tuh4JAwWgH9AKWtsVL1s1cFkJJCKVDNngxDgNyZsgXmvx4HxxvDjl/vkRERE3MD8iV\nAHQvIPez4F5zNyUBaAo33LoGXUvDqZKa7o7lhPTHdAzIiZoJA/IZFCwhlciQRy97G4d/GjzWpY1X\nrJnCDbeuxo6ecQBA5w3bUo+tew05pFIQfnMOKZHvPQcAeLKvC6eX3Y7+9mtgGS3QMuWKDLiWyUBT\nNqAab9QWrFMtmSFfaA49+7fBY1ZAEBERNa9ohlz4AbmXrBF+t3UJQFQG28E65F4fIsnvfKKmwoB8\nJiWWPUuzcuJk8FhTDrpaBd75vjvgnDwMAPUz5I4MMvCjL+3FyS98CQBQst3XC0Y7AMDMphwjm4Em\nHS8gbzRD7nfmZAZ1IUn+/NkjoPnlJ87DsafRkZGIiBYMPzGipAYkStbDgDzMnkfpul9Z6f7Hceyr\neq5END2cQz6DgjnkWiJDLhX8lSGNSPMsXdmQlgWlFCYOH0Gmexmyy5enHtufQy6lCgJyZ2qqYr+y\n1zzOMCtvCmiZLHRlw1Y6JFiyvpgpGf8yZoa8uU2N9uLw7s+gpWM1Nt70LrR2rp3rUyIiolnkj8OU\n0lBS3qo8XrLmmqN3IN8xAuFoECmrmOqJcanD73yipsIM+Qw6c/BrAFIy5JELn6HCgFyTDvp/8BiK\nFy/BGh1Fx7brIaJtMSP8i+7EgI3e3rHYa9Gl0Mq6G5DrmZSA3DS9pc+mkSEPStYZkC8kya7qvOHS\n3CZG3cqawsQFHHr2bzn/j4hokQlunEsNysuCG97c8Nappei5eC2E1CFSFtIJSta9TLrj8DufqJkw\nIJ9B0vHXFI9fDaUdXvi0SGArvGUnJg675erV5o8D4cV06LiFf733hdhrZT0XPC4ZbhMPI1N5Rday\nGejSBpRxGSXrvJu6kEinHN+gJIO8JmaX49UwvIFCRLTIBE3dNGzqXgcA0PX4WE+TOjKZyuJXvw+R\njwE5UXNhQH4VJAPyYtm9iG4Y2RcE4QCCvPaxv/0MAKBjW/WA3M+Q+6Khk58Vdx+7wbmRq7wgu03d\nHCjocBoc0LNkfWFKXeaMN12aVnKKwcTQcUyOnpmjsyEiotmmIl3WO1vaAABmMiBXOsyUhIxfsh5m\nyDmHnKiZMCC/CjQ9HgxPFt0L38aRfUgvSHeD5bZNG6sfM7GUmowE/SUjDMhtLQMAMLOVk4j8gBxC\nwHEa7bLODPlClCxZB/gzbmbJn83xF+/Fkd2fnaOzISKi2Rbtsu73CTLNlGpIvXKkqSeSOg5XziFq\nKgzIrwKhxYPh8ZKEUA4MmSgTjgTZuTWroRnVe+wZibugh5e/EpbmtlKPZsgd77MzufSAXHi5dSmn\n2dSNc8gXlIqSdbAKopnxZgkR0eLmf0dLJXDuzAgAwMxWjhvNXEpArscz5JIl60RNhQH5DIkOmDUt\nfoG0VAZZu1CRHV//zl8IHuvZlHXKIoxEk7aLnVtwrGcnAMCJfJ4fkJtVAnK/1l02GGCzZH1hkinl\nagz6mhjn9xMRLWrBsmcK2HHnNQCATLYyQ96yJGUOeaLLus0kC1FTYUA+Q+JzPMPQWykFW2WRcQoV\n71n/rneiZZ27fJGWydQ8fjZlTnhZdxu46ddvrXgtrWRdCAEId2D/ew99vObnBe/xS9ZZ3rSgyGS1\nBlgF0cwU0v/+2IiPiGhxcLxxptIVXvMmd9yX1sAtLUj3m7r5XxksWSdqLlyHfIbIaEAeSYXnp8pQ\nQoMZCchvO/8ITKcMoe+C0dbuvkVPWaciIttS/UdVbu8AhuPbMpmUhSgj51ZOa+qVtjsz5AtSWlM3\nZsibWJWfjVIOhOBlnIhooRs4+wwAwMzawRK52ZSS9WRHdQAw/OQKWLJO1IyYIZ8h0QBHRCLy05cu\nAAAMWcDere5c7558H7pKA94ejWW4cjkDSqQPygtW5fZ6ATmUaCi7Fi57xov3QsI55PNLtSkm0i7N\n8pkQEdFcGB84AABYsWQ02JY21ksLyPVEj6JGpy0S0exgQD5DHCvMgGtGOB98dGLC3YYyHr+jHXfe\n/29Yvett2Ph/vm9ax9c1A+VMvOzdv9M5MpJSsmRWyZpFsve2rL/shfDnHTF7uqCotC7r/IJuWmk/\nLwAY7T8wy2dCRERzSdPC8ZhppJSnGykZcr8K0y9Zb3ClHSKaHax1nCFWaQwAoBstaO1YE2wvlbyB\ntHDwO3d9AHo2i2s/8MvB60GWWlRbEM2VM7KwsgVkS20Vr6V1TM9WyZB7DTYhlIAtHZh6lUw6/NNi\nl/WFiCXr80taEz6AVQ1ERIuNEJExn145/kvNkHtLoQVd1vl9T9RUmCFvwPkTj+D0/vtr7lMujQMA\n1l1/d2x70QvIW0wTd224o/KN/rW0TkDeauZQzuZj23TlHltKoJyJv5ZNaeoGADJoDiUay5ALrkO+\nELFkfX5JWzceADS9djNIIiJaWCw7HN+lrTlupM4h95Ir3nPJhqBETYUBeQMunPg+hs4/V3MfywvI\nzWxnbLufIdeNagF3YxfFlpSA3PSCKikFpBYPpnJmvQw5YCUC8sGpYQzm493h/JJ1ZsgXFpl2M4Y3\nXZpWWkUDAC6HRkS0SGQ61gMA9vduDrZds3RNxX56SpNgofljUO+/7LJO1FRYsj4NSskgY5zkl6wn\nA3Kr4AbN1QNyV50EOVqMyoDcMfw7ngJKi19cc9kqmTOv1GnpwNqKdSh/49t/CgC4/11/Hzkvdllf\niFIz5PyCblqqSjWLavCGHhERzXOam2gpWi3BJjNl2TOJyvGa35Xd/8rgkplEzYUZ8mmoNo8TCDPk\nmWxXbHu54HZBNswqEXeDF0VDN5Bpid/1HNjcgy2/9ZtwlKjowJ7LZpHO/byVfTc0WLLOgHwhSp9D\nzp9xs6pWss4MORHR4uB3Rld1MjhFp1j1tWDZM1bEETUVBuTTIGVlVtFXLo5DCB262RrbbhXdoNfI\n1F5nPNb+vIplHR3x89E0rHjjGyCUBt3QcXH9oeC1ahny6PDdsuuvRc455AtTuThSsY0/4+ZVrWSd\nGXIiosXBnzroJ0qA9G7pm3uuqXGQ4GAzeWpEdIUYkE9D1XmcABy7CN1sCcuCPOWiG8SnlRUBkQRX\nvZp1AD2dS2PPTS0D6bgHEJrC0MozwWut1TLkke6clt3IsmdeQM455AvK+NDRim3MkDevaiXrHFQR\nES0OQe+XSH7HNCuTPR3Z9tT33/OHr0fLKvcxi6uImgsD8mlIm3frU9KGplU2UrO8pm6ZXHqTtWV3\n7AAAdN16S93PX7l0Wey5UAL5KfechA7cuGpL8FrWTM+Qy0jbgJIV3mCoNp8oLFnnwH+hqPaz5k2X\n5lW1ZJ0ZciKiRUEpCSkFNC0cuq9e14U3//yNuOcPXhdsy0+VUt+/YlUH9CyrHomaEQPyOqJBij9P\nPI2UFoRWmQW3y+77c1WWIVv/rnfilr/4BNbc/XN1z2X9ipXoX3MMvZtfcM9nwMDf/PdHAABCA/7b\nG34Xp67/Cc5e+xJ0Lb1E3hJh2fvhSyfxO9/9GHpH+2LzyaMBW9BlndnTBaMi28ppCU1LSQeOXYJ0\nLLQt2Yg1W342/jrTHEREi4KSjheQhxWVQgi88nWbsWJ1J268ze243r08PUPu7w/wu4Oo2bDLeh3R\nrHgpPwh0b62yn1XRYR0AbMsNcrJV5nQLXUfntusbOpelLV3oX3cMwvGC5HJ4P0V4P8k//i+/jNFi\n9RsHjghvDHznyGOYFOP49NNfxKf+lz8Oz1naMHV3vyBDzuzpgpGs9NA0E9Ip8aZLEzrwzF+jlB8A\nAGiagRUbXgvpWDAy7Th35FtghpyIaJFwSrBtIxaQR73jPdvxhrdeXzMg92XKpyGdMjS9yoo8RDSr\nmCGvw7YLweNaQWm1knXHdgfMLblqXc8b12Lk3AeichAuMu6263quxcvX3V7jKOGFfGXLcgDAxckB\nWJH58dH1ydnUbeFxnHg5m18FcfKn/y9vvDQZPxgH3L9B3chg7da3IpNb4m1jQE5EtBgoJ49SOQOh\npwfkuqHVD8a9DLkhh3Hu2Hdn+hSJ6DIxIK/DscK1v6tlEJWSUMqBllKy7se2VdcFT2HZDibzlfPV\nW003IFcpAblmNjYwV5GA3L9ZAAAf/t4n3GSbAuzI8m5ByToDtQVjarQ39tzMhF/g5eLYbJ8ONaiU\nHwoeh80jGZATES10jl2GBolSycRgYaj+G6oR4bA/P34u9lL/mR9h6Pyeyz82EV02BuR12LGAPD1L\n7HdfF3plhlw57sA5W2UOeZqP/cOzePdHH8JUId7IqbvV7bJ+++qbKt7TeNVRGJCXrDKEdH8FRopj\n2HToTmw6fCfKkWy5Py9eNrBmOc0Pp/bdF3u+dNVtaOvaAACwSgzIm1WmZUnkmXfpZoaciGjBs8sT\nAIBSOQOrapPP+lS0RXtiud2zR76J0/v//bKPTUSXjwF5HbYVKVmv2p3aDVbTMuRKCgjlwJhGhnzv\n8UEAwMhEMbbd1E382zs/i99/1a9WvMfomn5JeeZcN256/i1oH+0BALRNLkPbxDLkI/9m3Yv0a3WY\np/lNN3JYuvJWAIBtTc3x2VA119z4zuAxG/MQES0elheQl8smVnR0X/ZxVGQNc4H6y+0S0exgQF6H\nEw1QqpSs+0sSaakZcg26dCCM6ffPK5YrP8/Q9NQO6rkGr8/RkvWOC2sBAMsGNsT2mSyHVQF+ww8p\nGZAvNJncUixZeSt61r4i0mmdAV6zamlfGXnGknUiosXCLk8CAEqlDG5eed1lHyeWIRcMyImaBQPy\nOuIZ8tol62lN3fQyoCsLQpv+/+pkybpPS7mIdnS2NHRMTVQG85oTv1mQt1ICcpsB+ULT2rkOm2/7\nJehGNmjeBzbvmx+YISciWjSsUpghNy4jwRMKx4BjxQkcHTyJz/7kn9A3duEKz5CIrgSXPaujoTnk\nXoZcpATkmtSgSQeTJ05gxc+8vu7nRQfY+WK1gLwyuG/PtNY9NuB1TU+M4VfkluN0ZFvRDrtw+zcZ\n5BXMWaLm1NKxKnjMEuj5hU3diIgWj6n8MACgVDahVemy3pBIUmZ4agyffvSvAADrOlZi/RWdIRFd\nCWbI64h3Wa8yh9zrSq7p8fsbSik4woCubHS/8s6GPi9apu7IxgbbZze/iDazsYA81mVdd4NsOakD\nKtxuJbqsC6FzDvkConnL563a+IZwo1+yDmbI5wfv75UVDUREC96ktwKKZRuQzuXfiI3NIZ/MIJvv\nwKZDr8DUJSZdiOYSA/I6ohnyunPIExlyS9pwNAOastF5040Nfd74VBj42jUuun2b9oanJRQ2Ld1Q\ndd/4uYYDeEd3A+9i3sYvbntbuN2J/zs1PcOAfIFp6VgT63kg/EuBZIDXLKpV5ACRigZmyImIFrzi\npZcAANLRcWT/xcs+jogE5EoJbN3/GrRNdGPiLJe2JZpLdQPyT3/607j77ruxc+dOvPa1r8VHP/pR\njI1VXxpp9+7d2LZtG3bs2IHt27dj+/btePe73z2jJz2bHDvsdD7dkvViqQgldGjKiZSY1jY+FZaL\nyxrB0cjyyPqRSmBL98aGjh9d5iJTDi/MN6jbgseW7eBbhx/BP7/4VQBuQO4wIF8QlFKQdgm6no1t\nF8yQNx0lwwFSz9pXJF71M+QMyImIFjIpbQjv5qsjNTjO5X9Pq5Q+QgAALfy+qXUzmIiujrpzyHVd\nx6c//Wls3boV4+Pj+PCHP4w/+qM/wt///d9XP6hh4IUXXpjRE50rKrL+drWS9aCpW6LL+mTRbQin\nofE7j9EMueMoWLbEx+99Fj/zsg14/Y51qe/RpIZMSof3NCo6/1wZwbj+G/e9GGy2bYl/Pfh1AMD7\ntv8iNN2M3Zig+cv9fVZBs74A55A3Helde7p6bsA1N/1i/EVmyImIFgW7HK724zgaXvHaay/7WNEM\nefTrIxqEK+lA6CygJZpNdf/ifvd3fxfbtm2DrutYunQp3vve9+K5556bjXNrCtFmZqpKyXq1dcjz\nRTfbrYvG7zbGStalwqnzY3jx6AD++r49sf3eccNbgsd3rLq94eNfM3UsfJLSHA4AbDutZJ3zixYC\nx3F/JzUjPUPOOcnNw8+Qi5SbbYIZciKiRcFf8gxwA/IddzY2RTGN0MIqyei3x8jUyeCxjCSiiGh2\nTPsW2DPPPINt27bV3MdxHLzhDW/Aq1/9atxzzz04fPjwZZ/gXIuWjVYLVqrNIT/e3+tun0YZcDQg\nl46ErDLgfvet/2vwuMPoaPj4W0f24Pr+H9fcZyIfLvUmlfQC8hJeeuzPgqU3aH7yl6/TKzLk7qVg\nfOjobJ8SVaGUf6MvpcSQXdaJiBaFaEC+dGV7w1Mg02iRaYv+14euO3jzxuFwc5XkExFdPdMKyL/3\nve/h/vvvx0c+8pGq+2zevBkPPPAAHn30UTz88MO47rrr8L73vQ8DAwNXfLJzQcZK1qutQ+7uIyJd\n1h8/+Qzue/EBAICmNR6QTyQy5PlC9TuV5YwXOOvTGJTbNnL2ZGxTJnF+w2PjkXNwglJ8xy5gtH9f\n459FTUf6GfKKOeTul/Ro//5ZPydK5197hFY5s8hvwscpBkREC5sVCcjbuxpbUaeaeGGkQPeyUbzl\nTU9D08LvklgiiohmRcPrkD/00EP42Mc+hi984Qs1M+Td3d3o7u4GALS3t+P3fu/38L3vfQ9PPvkk\nfuEXfqHu5+zfvx+XLl1q9LSuvmIB7n0LiaHBQQzt2VO5T+EUAODUqV6c6nMvZA/1PQZNepktZWNP\n2vtS/GB32D3zTO9ZjA6G2bHkMU5v+wmWDqzH2tzyho+v3XYLtIMXYttWGsM4W+4Jnl/sHwRa3MfP\nv/A8spNhp/neM6fR2x8P5hazRv+/Nw1rEAAwMDCMgXzk3Etng4fz7t+0UNlu88yhwZHK6449BAC4\ndPEiLk1M7+fFny/NJ/x9pflmpn9nZeEQNAB7D2yFbMlf0fGHhgaxeYX7WClgzer+in327f0poLdd\n9mfQ/MPr7NV3vO9kzdcbCsi/9rWv4S//8i/xxS9+Ebff3vh8ZZ8QouFMzs0334x169Kbl82Flx7/\nFqCycOwCli5bgmtv3Vmxz5kDJzGYB7Zetw2d3dcBAO4f+D5W9G0FAGRMDTt3Vr4vjfHwIwDczNjq\n1WvQ2ZYB4JYSbd++A1pk/k/5+D/i0vojWLvxduzc2tjx1e2347E//ktE+8y9aqPEv0cqle1Iwvzm\nW2/B0JFTGL7YBwBYu3YNVm1q7LMWuj179jT8c20W40NHcWwPsGbdNVh9bXjuIxcNnNz7NADMu3/T\nQpUf78OhZx/CipWrsH5b/GcyNX4Oh599BCtWrsD66xv/ec3H31lavPj7SvPN1fidPX24D0O9wORk\nK267bQN27qw9bbTmsYamIs8EtJQeRzfdfCNyrT0V22lh4nV2djxy8ic1X68bkP/Lv/wLPve5z+He\ne+/FzTffXPcDn332WaxZswbr169HoVDAvffei+HhYbzmNa9p/KybiJIODLMFjl3AyMWX0Gu0YMON\n/yW2z2DfbgCRxlgAxMEedIy5tyH1KqtMpLEjy1k8srsXQ6PhfO6y5SCXrfyRlaexJJnQdXSsXglE\nVk0zjPgJThXzQJt/PnasIzfnFs1vju2XrMfnkLNbd/MJmrqlzCFnUzciosWhXHKnEZbKGSxd1n5F\nxxJCC1uPKMRK1R1Hg65L2BaXuSWaaePHa88SrzuH/BOf+ASmpqbw3ve+N1hbfMeOHcHrDz74YOz5\n4cOH8f73vx87duzAm9/8Zuzduxdf+cpXsHLlyiv4Z8wdJW3oRkvwfOBc9YZorZ1h50tjJJznY+iN\nN+BwnPDieGFwCuVIurpQis8nv2mFm43vae1u+PgAoJvhAF8oB5qu4d0feDnWbHabwzkyPAdb2rHl\n3Di3aH6Tjt/ULTHtgIFd06k1h5xN3YiIFgd/Dnm5bKKrs6XO3rVpWvJ5OMaU0n2xUCqAiGaWLNce\nr9XNkNfrkL5r1y7s2rUreP7+978f73//+xs7uyanlIRSDnQjV3O/bGsPHLsE3Qizji2TOTjehc8w\nG++dZznVG8BNFS0s7QzP5fdf9UHsu3QYr1i3veHju+cT/tg1JQFNw9YbVuLcYD/On5iAUOENhH/b\n9028s2dN8JwZ8vktaOpmJDLk/Lk2nWqrNwBhhrwZmrr1HXsYQgis2fKzc30qREQLjl2egiMB29Zh\nZhpu/ZQq2qFd0xRUJCB3HA2mCZTLpSv6DCKq5Ni1x2vTXvZsMfGzwZpupmepPNKxYlnkwalhOFoY\n8BhG4/+b7RoB+WQ+vhZ4e6YNr1y/E1qV9cSrMSIZck05EN4t05aMmzUVKjzeM73Px0pmmSGf3xw7\nPUPeDIEdxUm7CADpNwSDQdXcrhuvlMLFU4/iwskfwLby9d9ARETT4lhTKNo6AAFzGgmeNHokRa5r\nMlay7mfIy7ZV8T4iunxKKZTLteMnBuQ1+BkqoZmpWapgP6ccm5N76PDe2OuZTOOTyG1bIldl/8nC\n5V8kR8aLuPdb+zGZL0MY8ZsLwpvkHgbkAkY5C7PklkZF58ZLVX0ZNmp+4bJnyQz57AZ2l848hRce\n+SNYpfH6Oy9S/nx/3ahc1cD/m5zODTLbKgD26MycnH/M8kTw+MyB+2f02EREBEirALvo3piNJlQu\nR84Mv/s1oWIl67ZXHWlbDMiJZtK39z2O7HhnzX0YkNegvDmcmm7EMuBJUlqxgP3IS/EyfzNb/b2x\nz1MKjlS4ZnUndK1y3vlk/vIbbfzO3zyBB544gR88dxatrWFALoUWZMhzGfdCLZTAtpfeiOt/+gZv\nr/DXZKz/4GWfA809x5tDriWDvFkOyM8d+RaUcjAxcmpWP3c+cZzqGXLDdLsuTicrfWT354Cxh1Eq\njMzMCQIo5YeCx6MDh4J571dq+MKLGDj37Iwci4hovpJOGULZKJfd8Zl5hQF5e1t8HfP4HHJ33GnZ\nbOpGNJOOPDdUdx8G5DX4g0tNM6qWrCsl3cZvkYzjxPn4IDmbaywgt72Gbi0ZA0s7KrNil5shn8yX\nMTzuDu41DchkDawePw4AkEIPypV1L1MeLVkH4nOOysURTIzUXkuPmpdVcte2Nox4Yxg/wJsN0fL4\nxtsdLj6ySkd8ANDNFgAiaPbTiOLUJQCAXZqos2fjSoXIl4yScLwy+yt1at+/offg1/DTH/45Th+4\nH72HvoFycWxGjk1ENF9YZXeZslLZHUdeaYZ8SUcbDhzaDAAYHu2EHg3IvbGf7TBDTjSTimP1k14M\nyGtQQZdjE0KkXwT9rtWxQXMhHrznWms3hfP588cNQ0N7a+UgfCJ/eRfJofFwkFwsORCGCV26562E\nDuW4Za+67v46CBn5t6p4yToATI6cvqzzoLlXmLgI3cgh07Istn3JyvpLGs6UciRDy3nH1UnlL3tW\neTNQCA1Gpg32NAJyn5rBeed+htzMuqVYaoYHcnZ5EkN9z2Hg7DO4eOrxGT02EVGzsyMd1gFc8Rzy\nZZ0dGB7pcp8oQNfD7wMFd+znWJyaSDSTbKf+9EIG5DVIx+9ybFQEpRX7RErapYwH7y0tjS1T4fgB\nuS7QEllvvDXnPp4sXF4ZUbQZXKFkQzNNGDIycJbu52re8mxmObyBIJSINJDytk2ziRw1DyktaHo2\nVvUAuD/TjmVbAFz9xn3Fqf7gseOwm2s1QVNJkV6dY2baLysg9+emX4mp0V4MnP1xkCHPtbvLWkp5\n5QG5rBLUcyUAIlpsRvsPAAgDck2/svFXZ3t7sMqpAKDpkeuqwQw50dXg1FnyDGBAXlN0HWCRXLzR\n36eRgLy9sYC86HXgyxh6rLHbmh63nDjZZb1R41NhIF8o2RCGAUOG25QXkPsZcr+ZGwDoMJAsLB4b\nrL0UnmOXgsoBai5KOrGu+VF+FcjVDnysSCMwdu2vTgUZ8vRrj5Fph2MXpz1vW85AWfnpg/+J3kNf\nx/CFFwGhBT00ZmLet21NpW53bK6NS0SLh7+KBQBks2W88vWbr/iY2ZwB5Y3phBAwIgF5kCF3mCEn\nmkmyjNgSg2kYkNegonPIq2SppBfYat4yZ4NTw7CceADbaMn6pWG3fHf50hbkIhny1T3tAICpK5hD\n7itbDjTThB4ZxPsB+cTBQwCATDkMyJUDyMSSWJMjJ2p+3kuPfQT7nvzEZZ0rXV1K2tCq9EPQdHf7\nTDXmSjp//HvoO/ZwrLM6s57V+Tcrqk2XMTLudcEupwewADDY9xxG+w/Ess4zkSGP3kjJtizD2IDb\n7LH/zFNXfOxq/x7HqgzIpWPx5h8RLUiFifPB45On1qM9pbfQdAkhgCBDrmAY0ZJ1NyRgQE40c6SU\ngKUDBgPyyyajc8irZsjjc8h/1PscgHjAk21rLEN+adgdiK7qbouVrC/rzEEIYOIyu6wPlH1CAAAg\nAElEQVRH32c7EpppQIsEQk7BzZid+fKXAcQz5EJpsKaRxfQH6tWyXDQ3rNI49j31SdjWVNUGhf52\ndRUCciltXDj5A1w89Sjy42eD7cyQVxdmyNMDcjMIyKuXrZ85cD9OvPRPsbn6lzNNoPfwA7hw8tHg\nuWGGnXqziX4Ee77/h7h46rFpf4bPv3as3Pi6YJsQekXDuKPPfxEvPvon2PfUJ6uWuRMRzVelwnDw\nuFjKorOrseROPUGGXIsnW5R38zd6U35s4DDOHf0O8pGbA0TUuLxVgO4YqDL0DjAgr0FJvxzdiGWp\noms2J0vWLccCoENEAl6zpbG7mhcG3UHzqu7WWECeMTW05szLzpBHm8HZjoIwzVhAnu/tBQDo3hrj\nIlKinit0wErJYlbLonJd6eaUnziPsvflXjVD7m2XM3x3XDoW+o59N3heLkYy5AzIq/IrV6pnyN2p\nLI10Wo8G7dPthK6UxEDv0zh//OEgux69aaObLVh73dti7+k79tC0PiN+rm5Abma7ws8wcrCtPM4c\n+E9MekvlTQwf9/afRLnEDuxEtLD4/Vb2XHCbZnbMUEAeZMhFIiD3StZlpAHV8RfvxaXTP8Tp/f8x\nM59NtMhMlqegOSb0OqEgA/IaYsueRQfFkRLuZIbckjYALRbw6g02ddt3YhBCANes7kRXW9hlPWPq\nkFLhzMWJoPHbdFRkyA0DWuSmQv70GSgp443ePBuPvBx2SvBdraw0OjBWqn4TA5odMlKmXDdDrmY2\nIL9w8pFYKXMpPxA8LkxdQik/OKOft1D4P4dqGXJ/3na1iobo31+5GHa2n+4c8mgAXy6OuseIXN80\nPYMV6181rWPW4l9bMl7ndsDNmpfygxjs240jz30eQ+efT7xn+s3tiIia2aS3xOy5wSUAgM4ljY0l\n6/Ez5FoiIIeIl6xHk08OV0QhAgBMlqamFd+M5/PQlAY9U3uhXwbkNSgnuuxZ+D+yVoY8bxWglBYL\nePVs/Qz56EQJh04NYds1y7C0I4d3vH5L8JqpayiU3HN5fM/ZaoeoKhqQW7aEMM1YBt8pFFC81A+j\nylzMckq7/mol6dG1gllG2jyiZcrVMq5+gDfTc8ijGXHAD/Dcv6fxwcPY/6O/mNHPWyjqZcj9wVP0\neuQ7f+IRvPDIh4Pn/vJkwPTnkEcHYpa3hnn0JsD40LHUmzyN/P1PjZ+LldMr6eCC18TInyOfJpmt\nsct5TI6eYcUFES0I0rEwPnQUAFCacK+FHZ0zVLJeJUMOv7Grdx2NXk+TS6USLUZHBk/glx/4A/zH\n/gcbfs/YpFf1l6kylvMwIE+wypMoehk7fwmfZIlvLCCX8Qz5aHEcgA5NObi+/8fYOrgbWgMB+e6D\nFyEV8MpbVgNArKlbdN3JgZHpdxqOdmd3HAnNNNFiuxmllrIbLOVPn4ZWZX1iKyVQt8t5lIujFXeJ\nLC+DBoQl/zT3nFiGvEqXdW+7mumGLikBo19uTdXVy5AHNwkjf4NKKYwPHceFE9+P7VuKrP3uONPL\nkNuRZmr+33Q0IJdOGUIIbH/TJ2Pvi2bl0xQmLuDws/8T+5/6FM4d/S6Ukhg6vyfIdhuZdmRbe9DV\ncwPWXb+r5rEG+36CI7s/G5saQUQ0X0WrDY1yCzKtGnRjZobsb337LQAALdH1WQnvpryXsIktY8mK\nRyI837cXAPDNw9+vs2doYtJNOmSyDMinZe8P/xwHvIxddNmzaBAez5DHu6yPFcahvJL1deNHsGH0\nIPRc/YD8x/suAADuvHl1sO2/f/CVuOnabrzpZRuCba0tZsV76xmfKgdz0m1HQRgG2suj2N73MO44\n9x0AwORxt3O6SJkvbqVkuobOP4d9T/7fOH/ie7Ht8ZL16ZfX09URDY6qlTj7Wc6ZzpDbKaVuujFD\nc+EWsDBDXu0y7WXIIzfSRvv349ieL1bs6a8XDlxZhlw6FpR0gtJ1IKysSN64jGbl0+QnL3jnU8Cl\n049j+OJLsfM0M+246VUfxpYdvwwz01HzWGMD7goRA+d+0sC/aGFwrEKsIomIFo6hvt0AgMMyA9PK\nYenS6hVD03XdzWsAAFqyqZs3jlVeVeT+Pf8avlYlYUO0mFi2g+4Lm5C1Gk8qTUy5Y6hsrnb8xoC8\nhuiyZ7HgskbJ+kh+DFK0omiEPywtVzv4yBctvHR0ABtXd2J1T/i+7devwKd+89VojfwQ23J12vSl\nGBoroGdJDpomgi7rALCscBEZ6Q7Oz3316+65pgTRaRny4QsvuMfuey6+b5EBeTOKzuGuVtYbzkme\n2coGxy5UlF3rie4W0UqLydEz6O99ekbPYT6Sfoa8Ssl6WoY8P9GXum+5EJ1DXjsgl46FS2eewp7v\n/yFG+/fDjqz/LWVYRumf26Zb/rf0z6zT4LGcCNjLhdHYc91sCf6NRiQg71n78nAfIz6nUl5GB/n5\n6qUffgz7nvwfc30aRHQVFCYuAgAu5PPQpI6uGZo/DoTfHckMOYT7vezfDHbGj4WvMUNOhPGjAqvP\n3oC1R25taP8fndmNb+77AQAgx4D88iilYsuexctCoyXrYVm7UgpOnxtQq8ggWsuEDdrS7DncD9uR\nsex40jvfuBUAkM1MLyAvlmxM5C10d7bA0DVYXsl6NVpqhrzGcmuJ7F08Y8MLeDNIZkRllYDbL42W\nMzwP17by0M34YMKMNOwCwiW+Bvt248juz+Ls4QdiWdjFSDplQGjVm/ClzSGv8icX7fkwOXoKx1/8\nStWmJOePP4xzR74FAOg99A2cP/ZweE7SipXQ73jzp9CxbEvFMYD6TYCiS/q4+8cbpUQrA8xsGJBH\n5zKG29Ovzwua9+9cNP9eokXE7/uyb8y9/s/UkmdAeJNXiMS1w5t6qVLGgYXy9KY6ETULq2xDypmJ\nR8qT7nHMfGMZ8m8feRS648ZcPZ1dNfdlQF6VCjPkuoGlq24LX4mWr0t/rWADBasIlRLrRBvCpXl2\nv1+uvqrqPsu9u6PT/aXqveQ2YVq/qgOmLrwu7fHzyfT0BI/9gPy6G1cG22y7ekCeLKdlyXrzSS5F\nV60k/aplyK1CbN1qwM1+7njTp9C1/EYAQGnK7dtw5sB/BvuklbovJtIuQdez1a8fqU3d0q8P4aoI\n7kBsbOBg1ZUSJrxlxQD3dydaRi4dK/j96V6zs+K9XT03hJ9p1e53kQzIS4VhXDr9eOq+ZqTBW6Zl\nafA4rfHbYivj7ovcMCGihaGUHwQy7dAsN2vd1t7Y8rkN8b47kiXrmu6vtFI5dhsbS/++IGpmhXwZ\nn/yTh/A//8cP8Oh3D13x6k/S8Tsi1j/ORGkSJ0d60S7cBFR355Ka+zMgr0IpGct+L19/F9qWbPRe\njGbI/YBcx2hpHEK6A94lhYsNf9a+44Po7srh2rXV755omjsol9P8ZTrZ5w5Or13TCcPQYDsSmZ5u\nrHrrW9ztH/wV5FauCD/HC8izOQOrNnnrHNvV5xQn12ePBX8MyJuCVZ6IPZ/NOeRKKdh2oaK0WNNN\nCE0PbmgVJi9UDAKqBYyLhWOXoBnVB2EC6U3d0nnb9TDTXK3pWjQbnSQdC9K7QdfWtaHi9S07fhk3\nveoPAUw/Qz411lt132iFRTaSIc/kllbsay2yyor+3sh0FKVw7uh3MDF8Yg7PiIiuhHTKsErjkEYb\nlg6uAwC0dcxcQC6CgNz9zs1bLbjujnug+9VP3vfy2Lh7w9NxNEibFY80//T1jgIKmBgr4ulHj2Ps\nMhpjRwUBuVb/7+HUyFnkpjqx9PhmAGzqdvmUqlj2LNe63Hsp2uAtnGdetsswvbuZWwafx/p3vwsb\n3pM+vzKqWLaxpKNGJgyA7gXkjjPNgPy8G5BvXNMFQ9dg2wpCCGy+51fxqm9+Davf9nPovGFbsL/w\n/m22LYP5DmeGz1U9fjRDbpenYkE41yFvDv5SVfVoWnzJk5kgnRKgZEWG3M/GL13pzsNRyoGTyKgW\nJi/G1sBebBynVDHXPsa7XqhYVrzO35wWBraOnf7FVKvhnnSKYSNLPX0qjm64P+taFQ5S2rF+EwCC\nn39r5zrceNcfxF6LXmcyufAuc2vHaiQrfs4d/U7Vz10oxgYOB4+jN9gKE324dPqHOPr8F+bitIho\nBpTy7s3Ksp6Fbnvfld2ttd4yLSKRIZ8otaNj2eagF5L/nSKEQrlsQEoBTkGk+aj/QrxCdGhg8oqO\nF4Q4DWTIz41fwPLzbjDevbwNq9cxQ35ZonPI/e7BaXM2/cGQEAZs6cDwAvKsU8C6X3gH1r/rnXU/\ny7IlDL32j+JyM+RnL01ACGDDyg7o3hzypPXvflfwWMG/UAt0tbt3R7OoPuc8OlBOzjtiyXpzsL2A\nfO3Wt6Jj2RZsvu29qfuJYB3ymStZ98uWdbMFG295d7DdD+ai89aTAeK5I9/CgWf+esbOZT5RSrkl\n67Uy5P7fXmwOeXh96Fp+E3rW3Rl/kxYG25dz48W2CsF89GqBu+Fls0f791Vdi9xtMqfQveZl2Hz7\n+wCEv3fLVt2OlvaVFe+5/uW/ietf9huxjuu62RorYQfS5z8uNJfOPJm6fTHcjCBa6EoFdwrXlDCh\nSXf8ue6amVsHPJkh9xmGN9bzvlN0zYGUGlRYj0U0rwz1u+OVG251e3SNjRRQLtkVgXoj+qeGMDDh\n3iyzYUPK2jHOubEL6BpxP/fXP/wGZOs05WZAXlVYsh40VfIyUoXJsBxdRUrWbWnDKLuD1IxdgNDq\n/+9VSsF2FMw660tq3mc3Ood8YKSAF470YzJvoSVrIGPqMHW3y3rFsY3wl8Tx/q1mRkfOX2It8pZr\nb/0/Yu+NlhpXBODMkDcFy1trvn3JJlx3x6+hpSO9eWCYIZ+5knW/bFk3W9DSFgZZfqDp/20pacNJ\naR642MqPfUraUMqpWbKeNoc8mi03zBzWXXd3vPGiCI9XbWpCslIhavDcs+g/+wwAINdWGTS7pxWW\nZZ078mDqPv40CjPbGfQR8FXLvLcv2Yj2pZtix9eNLHKtPbH9qr1/Ian2NzoxfHyWz4SIZpq/ZOR4\nWaBtwg3EzUztctdp8buse1k+5YXbujeH3A/INV3CkRqUEhDMkNM81Nt/CQBwILMHADA8PIUvf+ZH\n+MKnn8DEWOMVmOfOjODLf/Vj5Kbc+eBKkzg2fKr2e86F0/L8pGotDMirUErGlj0DwvnSJ3/6Lxjt\n3+9l0cOA3JI2TCsLQ5Wh6wJoICD3A+R6GXLdO9ZLRwfwzN7zdY/723/9OP7bl36M0xfGg2XTDF3z\nmrpVuuPeL2H9u96JTcM/BQDc/rL1yGbd91mO+4tkZjvR0rm24r3FqQEAlQE5161sDn7JulFjbjAQ\nzZCnD/bHh45ibPBw6mvV+NlUw2yNdQvXvFLs4CaAcoJS6KRkU7rFwO+wq+vVy8fTlj2LlvjrRgt0\nI4vWjjXhm8wweK0W1NWayw24N0myrT3ItnbX3A8ARgcOBI+lY+HCycdwbM8/oORdM4xMm5utidw0\n8MsmG6FpmVhjN6EZi6IZYPJv1LGLGPKWoiSi+c3/zh6JfPU1MqBPY09OYnTvvtg2ITQoBQgvQ+4H\n5IaRCMg16Y7iFJIzg4jmhaGRcUjNxvGyu1zrM4+eQP8F9+9reKjxPkVf/rsfoTyhkCu642jNMfDo\nyafxX//j1/GNg+mNVScuuvHhTbevSX09iQF5NUq5F0WhBVmqaHn2iZf+Gaf23ReURwqhw3JsGFYW\nWVmE3tJSMSf8z774DP7g79xSw8NnhvGJf9qNU+fdK26jJetP7z2PT/7zczX3BYDJQlgq6q9d7jd1\nS5Pt6f7/2fvuwDjOMv1n2lZ1S7Ik27ItN7nFLcXpgYTk0gglAcIBB0c5jnaEXo8cJUfJwR0c9e7g\nyA+SXEhIIZBCupM4ceLei2zJstXbauv03x8z38w3ZVe7apbtef7R7uw07c588z3v877Pi+icOZgz\nehB//8YQmltmIRQ2ttufiKB2zgVYsuEjvolLVoqzRyEPCPlMADFHE4TCbRpYSq12I5vsxuGt/4Uj\n2/6npLpu69ihMqeyyZF7yj4mIeSxinmOfex6/lsY7tlZ9DHPBGjmd1xMyjod+KKN1EhKeRkxowSA\n0FxU1a80juHzO+u6BkVOI2z6ZdCgSw5q55zv6bDgB1kcRd/xl9G+5/9wfP8D6DryGEYHD6Fj3/0A\ngLCZbs7SwRq2eEKuqc60fiFUPqaZ3JkA4l1CcGz3PWjffY9jWS7dj61Pfh4DJ8d+XgQIEGDmYKhn\nBwAgKY5vDjWyazeO/rfR2nLv7d/C3q/fjpduejs0yqBX1xlwZg05iemSlHUGGlRVBcfqUHXW5OOB\nQh7g9IOeY6EIIuSQN/PvRLu/sS0AiDkFW148BklUsGe3V6QQ5AheOmDcp/fsftjzuaRIwIgxN7n0\nTUuLOteAkOeBrqvIpnoQidVRCrmTjA737HSo6N977ufgVAEhNQsuFvXsc/uhfhzsMC6Az/94Ezbv\n7sZn/8Mg6GOmrLs+zkes/UAr5HIBp0yG58AA4GA7rQOALLGYv/Jmo67Tx3hON+tEPQp5kLI+I6Ao\nGQBM4fRnUPXcPkp1JtVtvS7Fhb2/czMAgBfKHI78rCtlXdNshZzzSTke7ttT9DELQZHSOPT6L5Ee\nzW9UOBNAescX/s1MQk7VMcmSbVhCnMk5l6Fe9ew15nbe35H8BrzgHb9oM7Vi1HGCzgMPYrDrdQx2\nbXWePRe22qQ5sicKmMoR1DdfAgCIVc5DWXWLtZwPlUGR0mf82KNrKhiGs763RP9+zzoDJ7cAADr2\n3heQ8gABTiPIZvvYRGp8hHzv129H958eRepIG1KH7TKW7ImT1mtdZ6gacrdCriMt5gyFXCcp6wEC\nnF7QNR0QeciCiAvmr8OJhU5h58AeZzcsRVEh5hS0HxnAlheP4fEH9+D+u7biicecGSYElUON4OQQ\noDEYyTpNanf17kc0VQmG11Fb723P6oeAkOeBmB2GpoqIllO9wRlvDQ9dQ24ZuikZcFHnhFalar9V\nnzpwociUdYJ0trDxVpwyD1i+wKhB4jlDIc83WWU4k5ApTkKuK/ax/RVyY303Ic+mepAcOlrwPANM\nPVQ5B06IjqloEmXS1zDKYRxW3CQhl+5DasSosSmrXmClpwO28kvXrRPlXYhUePZFt7qaCAa7Xkdy\n6AgOvPIfk7K/qUIpKesnD/8ZXW1PIpvqdaT3E4XcrTjbRnpeQk5+g1C0BhW1rZjX+hbUzt2IhoVX\nOvbD+IyFNCpmLSv4OWC0VyPnQivkPO8NBrgxd9mNWHfldxCO1qCmYa29rRAzyx8mz5hwJkLTFPCh\nMtQ2nWcu8Y7pve3PWa879t43PScWIECAScPQqDEeX3rVknFtr7ta1ipJu+OKpjNgGOL/YyzjBSMY\nXl82iMTQCbCsDo3QhICRBzjNkErlwIBBNM7jxmVXYaTuJPZueAJHVr6I6rooBnrt++Hw/l784OtP\n4HtffQx3/Xwztr3SAQA4cqAPqSEZsmAr7Ne/1/C9aehsxfLtV2HOsdX4yCNfcnCr3tQAQmIM5bNC\nRZebBIQ8D7JJo047WmYTcj9CY0xgGTAMb7lh8nLOQ8iTaVt1/PavX/XsZ6wfzP15agxC3lgbB8sA\nt394I2692pgck/rxfOo6Y0ZHddUg2CRlHQp1bJ/vQM+Tst6x9z4cev3nBc8zwNRDVbJFkRxapdz+\n1FeQGaWj6XRngfwu1plkF04c/BNURULGvIcaWq6EEK5wKuQkZZ1qtUaMbGY1nYtFaz/g2G+hVlyl\nYLL2M9XQTIW8UMo6fS92t/0V+16+00XIjd/cndnDFChNUK3jRrBk/QdR33wx5q94O+Ys+RsnIWcL\nu4UuXvcBNC56U8F16H3Q1xcnjP0bMQzrMG9b/6bvYd2Vd0AIG5HoXc9/E9IZbAioayoYlvMNXvmh\nmKyDAAECnHqQsTBSOR+6aIzxLUu9JUTFQBNFx3t51CYghkJuvjbZdoi3x9RE7w7zs8k1ddN1DQe2\n/BTHdt09KfsLEAAARoYyONHhTEHvGjDmlOE4j5bqZgCAzqnIxUfRIbdDzCnYve0EHv3DTtzz31sg\nS/bclu5Xzsgc9JA9R5nb4DSSrR6cCwBQqDlV78lRsDqH6tqx594EASHPA0IOwpSDrx8hT40cAy/E\nIOsaGN0Y1BhdAxdzpokOJ+2629f393qPJxdu1eMm5Nlc4bRhUdYQj4awoXU2IiaxPmBerI9tbvfd\nhijkJKpKFPK6rkWWvb9fr3SitOVrc1ZKinOAyYciZ6z05UKgVUpNk9HV9ld7H5JtfpGvrZQiZ7B/\n84/Q2/EC0ol25FLGdV5etRAA/GvICTnUVeQyhtFXJFaHqnqn8/ZkXUMzPVWdQC2CkPvdizTJJoTc\nXYLAFjDvU63adR8CRx2vomZx3vMCzIwhvnDfXPp6q2lYZy8v1Hs93/EYFiwnIBw1Uuk1VUTPsedK\n3s/pAl1TwLI8hHBlUetH4/VTfEYBAgSYDJCA98lkH3jFIMjxsvF1jlDSGUTn2IZS8qgdsNV17/Mj\nJNjHyWYMLw4dZg15EX2Xi0Fm9CTSI+0Y6tk+rtabAQIQPHLvDtz7P0Zp1o+/8zR+/eMXHcbVPQOG\ny3m8PASO5XDHVV+0PkvUGGWYD/5+O7a9chz1jeV48zvXIh84iv/FYmHManLOqWd1L4RIzbW6Txr3\n2pKlDSgWASGnQKcbSKKhrtATU78JMGCkXqalDBjd7O2oa+CizgntcFL029SCqhYe7DjXsXOST/2n\nmQqfFRV09ibzKuEjec7FIuSmQk6CAJwqUJEfPxLgn7JOoMrFm4AFmFxoqgxdU4oi5G7VM0z1dyYB\nKiD/7zzUvcNeR1ORTfcBACJmlolvDbm5TMoNY7hnJxhWgBDxkoyJtmKTcgkMnHwNAydemdB+pgsk\nZb0wOR2jzMVUmi3ibT5QSDBEU73jgFaIkFOggyvjXYf+fF7rm9Gy5r1oXnEzQj6/f7GgA6iT2b5v\nJkFTZShyGrl0H2I+XS/Kqxc53nN85IxP4Q8Q4EwBCXgP55IWIY+VlR6kBABNlqFm7fmXkoeQWy7r\nFCE/cdhs2cRwvuR9vMimbEGK9jwJEKAUqIqGHa914tC+XmSoDGSRyh5OZgwhKW56ei2etQC/u/nH\nePuK65CYZfsixctC+NuPnQd+fhotb7bnJb1zDmHf+icxVHccQ/OO4WNfuAI3v28Dyisi2HixU5Ro\n7FyOkaydgTI8Ylzbs+uKL7csnHd4loF2jyauzo6JaZ66ST5UjqHsiFMhjzrVoXwkmEAfIx3IrZDn\nJGdk8a6/7MPTrx3Hjz/7Bjz8QhsAg5jTuPaiBXjs5XbMrvF32yb9yIlC3tBkp0MqmooQ/LMEiMt6\nvrZVPe3PYt6yG/P9awGmEKpipN2MpVYCTsUScJp4iVmbkOdTqzsPPGi91nUVuVQvWD4CIWxcR+7+\n0fQxR/qM9li6JvteY4NdWzFnybVj/g9+UOQsdr/w7XFte6pg9W8vUGqQL0BIwPOEkBv3J8vy0ACw\nZloiUeEdx6VS1t0Ix2ZBCFeidu75Y/8DGJuQs4zzequefU5R+y0EmpCfqZk5yeE26zV9jxJU1C6D\nLCWRS/ehsnY5MsmTecfmAAECzCwQgUMFwEthgNERjRbfeYIWlhI7d0IaGjJcgTXNpZDTGxnPknDI\nJuQcaYlmznsni5L3Dtomc6qcASYQgA1w9kLM2cT7x995ynqdyUhWAEsyhUtBsOciIU7AO1ffCI5l\n8djIFsw/fC5mrdXxwT99zlqnfPFsNB5fgVTFAKrKy5Bd3okbW69C7exy1M422p7Vz/aWi/3nS7/F\nDSvfgPv2PAo+aWSmVNUEKevjgiIlPcs4SqHKZ4olhMuchBy6o4ZcVlT89P7CbZvGMgXmOOdwKLoI\n+R+ePoyhURG72wYspfz8Fc5UiTVLjDokUfafqNqmbuZFHOLBlCmQhRwUkqacJ002nejE4a3/5bvf\nPj+TsADTAkU2CHlxCrmTQOVMhRsoTiGnoesaZCmJULjSIo70/cO5asjHAnGdHQ/knP+2xfwfpwpE\nORAK9I4fy6SPkPlK02CtvvlSY7mlkHtJmlqg3RrL8jjn8q+hadHVY52+cX5j1JmrU0ASaUI+kWtm\nJoP0WZ/VtME3cBKKVlumepX1K8HxUcjyme88HyDAmQASSFQ1IJqpBKIKmBJ6kGuSPa72PfMcACDa\naMwF86Wsk5EhJNjEn+Nsw2Jdn7yU9TTVsWXf5h9i65OfR8e+ByZl3wHOHshUma8k2q9/9r3ncNgs\nC5ZMrhMSvPPMty7/GySr+7B/3VP4i+hsW5as6cWhtc9iVet8/OLN/4pf3vRd3LDsKsc6Tc1VOOfc\nuY5l3V0j+PErv0FPqh/RVBXYEFAzq3C7YRoBIacgi15CTrcdYty9x0zwQtwk5MbnjK4hVG0rF79/\n/AAknxrxr33gfGxoNWr7KuKFa4Qaa50/6p2/32rVpecoJVySVUs9f8+1rY5twuZF6SbzBLSpmybL\n0GQZDAswGjtmyvpI/968585yoTNWrZrpIAp5IaWVwJ0eTdom6ZrqMMjyq/tyL9M1DaqSy2vQRYg4\n41JJxyJx4wH5DghYi5DO3GtSMceiQoTcz2CRBiFrFbXLsPqyr6Fp8TUA7DFtqHub1ZaOQFWLS1kv\nBqwro8hd75ylJmaTBbpdWzY5+fufCSABpqr6c3yDMqFINeYsvQ5LNvwDauecj2jZbGhKzmH4FyBA\ngJkJ8izVdBaMzqJuTnEtkwiUVNqzLNLUaHxGmbrRSZmc6SsS4qj2k5zpG8TyRkr7JEnkas7b+3ng\nxCuQ8gTOAwTwgyjmn79t2WR090kOGiq6IHjnlRzL4YalV0IVJIABfnXT9/B/7/gZLplvZwAumbUw\n7zE4jsVbbl2Hf/zCFdayBQfPQzhTjvhoDcJiHDWNkZKCaQEhpyD7KOR0Gm+sfKHgRPQAACAASURB\nVK7nc8AgnIOZYTCaXUMeNQdAANiyr8d3u2iEx6fftR7XbJyPD9+0quC5VZdH0DDLTjtWVA3/++g+\nAMDRLnsgEyXVapVRXe6cVEdCRRJyRcG2f/wENt/8LjAcwOosFNLezdfUTS7YnklTJUhZ7yAcYOqh\nmgq5X19pNxiGQcRl/qRrKpLDR0E/vf1M3ehyD+N9FtC1Ioy9nKRtyfoPedYJx2rBh0qblBQ6t5BZ\nG69pMzeNl4xFhf5vd4kBgRCuAMdHHdkHoYidqUBn/Rzf/0fHtuS7Ygvcz8WCPv6qS76I1Zd9FSsu\n+qxl4DbVNd7KGaoKE2Kdz2E9HK0Gy/KomLUYDMNY1xApgwgQIMDMha4Tk1xjvJ5TXZoho5r2EvJQ\ndTXYSARyglLIKYZdZY4lIYq4xCLkWcADOibPZV3297No333PpOw/wNmBZCb/86ztoGEQ3L3TKMEL\n+RByALhi4YUAgI+c+25URSrAMAw+tfEDuHrRZWDAYH6V16PFjbrZtmjCaQKW7LkUCw9sBAAsWFib\nbzNfBIScgp9CTit2ZdULfLdjGBaD2RHMP3yu8V7XEGk0CLmm6ejs9TeuEDgOVeVhfOKWtSiLje2i\nuW6Zc2AmvchP9Nn7F2UVw6M5cCzjUd3DhJDncXTnwsb6mihB7B8AALAcwGgcpZD7tT1THEqon8o5\nk9ODz2SQ9NZiUtYBbxqxIqdxeOuvHMv8FHI36SWEcqzjuq+VUKTasw7L8mOSN13XMdSz09ckxkPI\nzbrbmWx0JYuj4IRYXtINwNH2i0brBZ/Emjfcnne7QmUCxbi7Fwv6tw3HasEwDKJlDZYXQE3junyb\nTggLV7/beq3KmRn9O48HREkKmd4M7vZy7iAO+S1VHxM///2PIJvyDyIHCBBgakGer6xozKms9rNF\nQvEh5NLwCPhYDGrWJjF0ynpZmfGc5jiOWmYE81legA5m0mrImTxzQSnI4AlQAjqPG2WUIzVGe91s\ndBSHVz9vfU4H4/OZZjdXzcHdN/8EV7Zc4lj+oXNvxf97+79jXWNhoZTgqhuW+y5fsrjJd3k+BKZu\nFPxqyOmUQIZh0bT4WnQdecyxjqbKGMoMg4URDWGgIWLW7JzsdxKEDa312HrAqM0V+NLiIWsW1+Gx\nl9ut9zxnbJ+hzA1EScVQUkRVedhjBBcJGT+32xCOgI0YDwCFijyxHMCAgWRGNf0VctWR4jpn8d/g\nxKFHnSudgUrV6QDb1K04Qu6uK9aKSE83jkNSnaNQlaxVc+4m2JV1K8E7gjdOckiXhSxa+wHIUhID\nJ14Zs+Qh0b8fx3b9DrGKuVi+8Z98z61u3oWIljUgY6Yy69rMJWqymLTM8PIhHyEXQuVj1pfT0HUd\nif69KK9ZUrjtWYkg5x+rcGYWhaLVOOeKb0xZT/iaxnVIj3air2MTksNHcXTnXaibdxGal791So43\n3ZDFUYBhLeLduPBKlFcvRqxiLnRd8fz2JNvBHZjKh90vfAcAsOHqH0ziWQcIEKAYkMBZZMTw/OG4\n0uaJfoQ8OqcJ2ZMnoWbt8q1wWABgvG+YazynWZ+yTI4TAEaHIExOizI2j9JeVjV/UvYf4MxH94kR\nvPCnowCAXGwUexbbHX4UTgKvhrDlyB5rWTabPxuS5/xpcIgvvtXgxssX4a+P7vOErRYsmlX0PoBA\nIXdAFr3qmlvBo/sjW31+NRlDGbvGlo2GwYUNVWI07bwQbrt1vfW6VEJeU+GcwGomyU1nbbKSkwyF\nvLrCxyXZqiH3JzecScjFXtvMi9Q/SJJJXnxN3WQwoAMXHCpmLXWug0AhPxUoxdQNADSX87afMp1N\ndXmWkck+Lxgp6rm0kTIUjjlbPixe934sWPUu672bPNA15VX1K1A39wKjhk1TC6YfExf4jE+f8UT/\nfgBARW0r6uZdBJYz+3DPUOdpTVOgKtnC9ePIT8iLNcojSA61oW3Hb3Ho9V8addcU2ZsIYuVNWLT2\n7xy/N4EQKiuo/k8UpB/5UPd2AEB/58tTdqzphiwmIIQrrHuHYTmU17SA40PW/UeDKOTue3ssBD2C\nAwSYfpBMTVE0xnfaTboYqGlnKi8Xi2H+e94NLhyGJtrPvPJKe07gFm9o8EIIFXFjHkEbvY4Huq6D\nZXQMDVdg5+6l6K98I1Ze/AXzs2COGKA4HD82ZL1OzDLmozevvA6/fPN3IcaM++eJX7Rb69TVFRY3\nJgqWZSyxkp5+CaHS5jgBIafgV0PuJQz2ezIh1lQZwymbzHMVtgGbOz2cjnaWSsjLYs7WF7NM0r3z\ncL+1bDiZg6xoqC73ppyOlbLOmi0vsl024QqZEVWRKORUBIgoX5qmOgg3wwmYs/R6586DwfaUwDJ1\n85mo+8FdH05Pyo0AFIPEwCGf4+QcxxEzRskDIUbFwo9MGsRNH9c1pMpZJAYMQk4UWZa179uZiKIM\n3QBwPoR8PK3DxKzxW2VGOyGLCYQj1UV5DhSDqvpViJbNnpR9lQJy3Y307Z72Y08ldF2DJI5a6erF\nwEpZdynkYnaoIOlWXGaIAQIEmHqQTE1RMsb3Oc3eMi4AyBzvxOH/+E+oojPQ5lbIm//2VrCCALAc\n1EwGumaatTnElfxzUY6z552Z5ARLWXQNLANoGosTXQ24f+9mPH3sFfLhxPYd4KxBOmVc88daX8H1\nay/Hf7/lB3jHqhtRHa1ELOIUI1dfU4OrLtgw5efUOMcwrT3v4hYAQF1D4fmbH4KUdQoeBYFhfVI/\n7UEsWtYAWUxA40LQqE35cpv8EAO1tUvr8KGbVoGjIpF8iYS8tsqYJLMsA03TLYWcTosfHjVOxM+1\nnRDyfCnrDMuCDYehUQN8pLMfo+Vltks8NYgTNUbXFEdKOseFPOrXmWiudDpAkYyHs59yVgw03VbI\nw7FZ0HUN6ZF26LrueKC7FXISCBgr7RoAaho3YKh7KwAju8INkqWiaQq4POqvO1Uol+5H99G/Ogmq\neQnOdIWcKCRCqPCA7g5ezF9xS9E9wmnQhouKnEU4Ojlk/FTCnZlxpkCR0oCuFXVfEZAgGcmWAYys\nkSPbf43Glqss930AyFITblXOQpiETIkAAQIUD5KpKYoCmuZVYe3583zX2/n5L0HL5RBvWYimG20B\nxE3I+Zhx/6fb2gAAvU89g4arr3J06fArRSTQdHu97UeP48qG0oO+1r7MMjFVNfapSwwe2PcYPl4V\nD+aIAYpGz4ghIqisispwOSrC1HOKuoxqNkp469UXT8s5vf29GzA8mMaCxbV443WtYAvcU/kQKOQU\nNFUCw9rRQL86THrZglXvRGPLVUDdagiSHZWJRW3yQ4jsRasbMb+hwkHIS1XIo2Eed33jGvzHZ64A\nACimUQFPqe6kFVq5j0lciC/ssg4AXMSprLOmYipZzpg0ITcyATRNdqQbMSzvSfUP0pFODQyyxSDk\najlVLHRNserAF6x6J3ghZqjort/TIuQhJ/HPl1ZNg+5r7XZdB2wluFCbLLotGwAM9+7CUPd2tO34\nrbWMmDJamS0ztIZclgxzG34MhRwAzrn865byP5aiToO+P8Wsnf6la/KUtJ6bboSiZyYhtx3Wi7+f\neYuQ26mso4NGlou77d1QzzbrtSJ7a1EDBAgwtbBS1qUQ1pw7Ny9Z1nLGM5fhnM9Mt8s6F3MGWHM9\nPip3Ac+ReFkMh440AwCyqYkFsYkXjGZ2JOJU3uJP3aPe8+oYOYEd3flb6gY4OzFq+lzpvIrLFlzg\n+EwbNjjMyKyT+MBN107bOdXUxrFoWT04joUgcOBK5HdAQMgdUFXJSO+zavN8JqbUwCWEy9G0+BqM\nyjkIkj3ohQSb1JP0cKJOO1PWS6v1BIDqiojVvkw1U480TbfI/XDSULf9CDnLMggJXN6UdcA2drPe\nm4Rclo2BlH44cCGikKsOwq3rqk99aBD9nG4kh44iNXLMaHlVYl0xga6pRnslhkW0rIFSq53XkOXO\n7VLii3Hrpo3c/CYGtXONAbfryJN599HbYbtr7tv8Q0/v8Xmtb7WCaeTanKkp68Uq5ICRgbD8wtsw\nr/UtqKhtLfoY9P0pUYTc+Gx818pMAsvyaDnnvaf6NCYdkkgc1ksn5KTtmabK0M3xWHG1QqMzVIK+\n5QECTD8kMyAriiFUzRo7s42Pxx3vaeM2wKghB4CajcZzND7fME+j/WEKKeQLm5otR/ZIiTWxbiiK\nQeg1zdjf3KNrMfu48dzqTvY61s1IWXz+ie/gjhf+E2rgZxGAQs70VfjERe9DediZxaWxxrVy3rql\niIfGlxl6qhAQcgqaKoHlQtakxF8h9w5coipBkG0iy3H2OkSNDpt98GjvDGKyVio4k8AQK39ZURE1\nW2OkMsaFGgn77zsS4vKaugEA43IcZE2iLUpe8mIpL1LK6aKue4MZgUI+vejt2IRDr/8cACCYbb7G\nA11ToKuKReDIvaHrzmvI6l/NOn0OilHIaRLgd39VzFoKlo9Akf3bB7qRTXajt/15xzKBGrRt74cZ\nmrIukRry4tKSw9Ea1DdfXHBS5Qb9nYsuQu5XNnA6oqy65VSfwqTDUsjHlbJuKGe7N92B/uMvmZ/m\nD5T6tQENECDA1EIWk9B0QJZ5lPuY87rh9oHQXHM1krJevWG9Y31nQLpwDTkh5CUavnsgm89cOg2+\ncsDwIgqzzuD9kaF2Yy6psRjOJiZ24ABnFMRRg0+Uxbz3x1W3tiC8IoW3XnWJ57NTDZLVkg8BIadA\nCLmbfNzx/E/w1ae+by7zfmWyqjhS1llq1HIr5PSkudSUdQJC+FWNEHINEZOQK6pxoYbyqO/hEFcw\nZR2akzgThTyV8xr8kJT15HCbgyxVzV7l/Z6C+qBpg65rOHHwEev9RNysNU2FpilWgIWop55JgEnI\nNarXMcMKRbXfKka9ZxluQq7PtNpMasg79t0/I52k5SJN3SaCcLzOeq1IacQr59uByDNAIQe85RNn\nAmxCXvy1QVoekhpyRcof2KIDqTNNIc8me3Bs9z1Ft28LEOB0hCKlIIkhAAziPua8gNOTJ3nosOMz\nTXEScpKyzppzQl0lmZX2eoViuQzDId5AsjIn9rwkCjlY+/zJv8KNRnEiYZelDadHsWT3ZViy6zL8\n5JXfTOi4Ac4cqKoGcRDIxhIoj3uf8ZevWY8vfvBWRITi25ZNF7oe/UvBzwNCbkLKjUBVsghHa6wJ\nKcty0DQNO3r24fDgMXNNH0I+OIQFnbT7OqU+WQr55E1ySR26qmnQdR2yqiEWdpKukOD/00ZChVPW\n3Uo2IeQZ0Y+QU+Z1GUNlW7j63WBZ3qOMBgr59MGj/I7DXIJA1xVHCQK5N9xu7GSSXD17jbWs2D7T\nxSiyDMvn7UVOWlsVAl2PTVzWASA5fLSIM5xelJKyPl7MX/526p0OIVyOiOmGfibUkAP+wdOZjL7j\nL2PPi9+HquTP3LCDNcUr5AzLgeMjUPPUhNOTezqNdaYp5G07f4uh7m3oOfbsqT6VAAGmDIqUgigZ\nQeN4mT8hp1ub9fzlccdnuuwm5OY8zRVMpxVyugStsm6lc3+6Di5EsjLzZ1cWA1E2xjadBz5822Xm\nUmN+oskaPvP4N7GvzwgwnOxIIJwrQ0iK4VBPx4SOG+DMwZ5tJwGdQS6aRKSIksiZBDlROMh9es1Y\nphCEUEbLGqiUdQ6jlJrgdpYm0J7bCpG1FSeGyksnpm75CPJ4QOrQVVWHqunQdVh15QT56tPDApfX\nZR2AR8lmTCKdEb09bFn6ZiDfC6m/Z1isu/IO28E3IOTTBreCNHfJ9XnWHBu6pkJTbaMv0ifc3Z+c\nHDNWMQcsZ1wXxZKGYhRZhs2vkB/bfbf1mu6fzfG2rwPtFs1SbVxUeea1dlKkJBiGK7p3/HgQLW9w\nvOeEGGLlTQDOnJT10w2dBx6EmOlHZvR43nVIS6RSgzWcEHO4rNOgA3gq9Xqw67WSjjHVIK0UxewQ\nhnp2YLj3zGppFyCAqkjQNRmiGAJfJ+ftDz6yc1fefWiy89lMUtaJ+ZuuGM9RxzOcmp8tWuP03tB1\nzXpGa+rEFHJZNuaROsNgVl3c3L95HE5FfHQWTo4aKnly1B6v1iZnXvpxgOmDpmp45rEDaDvYjycf\n2QsdGobrO08rQq7rusdw0Y2AkJsg9XV8qMyhBo7mbJUgLWd8TadGtApI1OSfpciwnbJuq05fef/5\n+O7Hxz/A8OYg3T+cxUe/+zQAWDXkBKE86fDhEA9RUvO2mCDpTAScqYTmJB9C7qgXNvZHByxYzk5Z\nDlpaTB9U2UnIYxVz8q6bk3P4ySu/wdYu/8mtpinQNcWjkNMRdU2VrV7fLBeyHvTFptUWQwBZlvcE\nAdyIVczF0g3/YL2nMzhIkICcI8FMTH+VxST4UNm0Kry8EEPUJORngqnb6YbUSDv1Lv/vLoskWFNa\nOj4vxKDIaV8jQzo13d36M5PsKuk4U4VsyjZ8UqQUju36PY7uvAu6pno8EAIEOF1BOmyIUigvGQeA\ng3f+0PFep0oNNZdCzpgmw3bKuknIqSw3en7mDpBHyxrAmr5FbjPXUiHJJODHIBTm8e4PX4A3v8do\no8YrAhYeuACZk8b/nUraz2bx8OnfijPA+PHyc2148anD+P2vXkE2I2Ok9iQy5cOnlWnbyT8+hMTu\nPQXXCQi5CVJXxwsxa0BiGA5JyY5o/Hrbfb4KuSS4WoXRNeQ+KesXrm7EypZZ4z5XUkN+tCuB3iEj\ndSniIuRCnhR5gajrWh5Cbg7s9Ve9EXVXXA7OrDMSc14yRNcmE7LkJRHkfUDIpwultCt6oWMLNnVs\nwV077ncsj1fZTqx0DblfyvpInz3IMAxrfVY8IWfQev4nserSL+dfh+Wh6YUnAxwfdajfNGlxB4oI\n5AL1tKcCuq5DlpIlpSRPBnhaIQ8I+bRCU2Uc3PJT671fkEiR0hg4+ZoZrImXZOAHGL+vrinopLwl\nCNr33GsfW3UScjk3M8yUZNE+j+TQEev1tqe+hD2b/hUj/ftOxWkFCDCpIFkgmUwELJf/Ho80ODOc\n9n7jm9Zrd8q6NVbk8X8xt3K9N7apb74EQrjMCtJq6sQyHWVybuY8cXFrPeobK8zzND7KJo3zy6bt\n/0NvmlnlMwGmF3u3OwPDycoB3LzyenCn0Vzl+N33jrlOQMhNkCh7KFrtIB+jVB3dvr5D/qZuLutJ\nmgy7Td0mAxzrPQf3/vMp5GTQ0/IQcpI/xLAsKpa3IqwYhJ87NupRuelaU7u+13lc8jAIasinD6WY\nMSVyxrrdyT7HcpL9oOuqQyFnGe9DnUzi3Q7rpaTVxquaES7QO9pPIVeVHI7tvsd6P3fpdY66dT6P\nikifZy7d57vOqYKq5KBrypQauvmBF+KIV85DvGo+ymuWTOuxpxKL133QeDGD68ndATQpN+x4P9K3\nBzufux0de++DlBt2ZHsUCxKcGh044PksnbBT5IlC3rDwDQBmjrHbWC0KO/c/GDxjApz2ENMGIU9n\nouALlDmGqoy2h5xpapXYZWe4uVPWCRhznkpS1mm4751wzBCMJPP+J75IE1XIFdNwTgfVPtfq7GPO\nPXnjXKSshprqEbCsCsXnnAOcHUiO5tDb43wOxaJhvLn1TafojMaHWPO8MdeZubOUaYaY6QcARGK1\nzhry3NgK2pEBw3CicfQQFgztRG2lTY5zZouxyTR180tlikecZCiU53hkWy1fCrk5MDMsCy4aRVg1\nCHnVoQRSLjdPWkkjEyaPcmOlrAeTpamGmB3C/ld+jMTAwaK3GTLbiQguIy9CWjXVMHWzg1RmDTml\nVpM67BZX7dlkqrwMwxkt2HQduq4hm+zB/s3/jqHubdY6sYq5DlU8n8s2TXaHe3dBkYrPKJhqWC7a\nU2jo5gdOiILlQmg9/xOonXPetB57KlFZ1wpeiCMSqz3Vp5IXezZ91/E+neh0vG/b8VvHezrDo1iQ\na1zKjTiWkwAWGZ9JcC1WMdd8PzNaA45VWiLlRjDcm7+uNkCAmYyBE6+iY98DyGWMAHE6HUNYyH+f\na5IENhTCkn/6JACAi9op3TpxWWdZxBctspZbNeR+deCu+RkpcyNBcLu7ysTmcYpiBgvobkMc71gk\nqyoGMkOIMyO48PxduPZNL0GTxm9MG+D0Rs/JBKADvXMOWcuaaxpPq/pxAIjMnj3mOgEhNyFmBsFy\nYfChcjtl3aWQMwwDhhVQ3bAG81rfYi2PcMZgWJ3txaKh7WB5m9yQlHW36dpkIxbh8a1/uNB6n6+l\nGiHM+RTyeIvRuzfS2AiG5yCYEzSFDUEacaYvsiyPxhYjSmWplwyDgfQQhrIjjuMFbc+mFqoi4diu\nu5EZ7cRQ99aitxswzQwjgtMRneEIISfqt6sPORUpJ2ZRbhOyySSVjPnQ3vvSD7DjmX9GV9vjELOD\nqKhtda7HMBQpZxCKVKN27gWOdVguhBUXfQ7VDWuhazJSI8cwU2CZdk2DQk7X0pMWhmciOD4yI70C\nCNwdCzTV69dBYzz/S3q003d5vNIuTTGOLYFlBYuoj3Uu0wEpl7DS6t0O0ADQ2HIVGIZD1+HH83Zi\nCBBgJqNj3/0YOPEKMknD0CydiSISyk84CCGfdcH5KFu8yEGyNVmGUFmJ8379K6z+129ZywkhH923\nH4ObX3XsT3elrDcvfztq55yP5uVvBQCw5vN3ogq5qjpT1gGAM8+L5xU0NvRBURR87E9fRSVPnZOi\n48kjz0/o2GcrJEWCVKBzx0xEx9FB/OYnL2Ln650YGjCCyWIkjcOrXkDv3INYu3LhKT7D0uFuR+iH\ngJDDqNsUM4NWmo4NBknRVs/q47VgGAYt57wH9c0XW8tZmATejDLSpm45SQHPsZYz+lQhGuZRHrMn\n2PkUctIyLR8/Xnrbp9DykQ+i8fprwcfj4DXjRlbYEA7c8V3IKt27kqdMvshEiMHHHv0qPvoIqQc2\n/u9s2jblCTD5aNvxv0gnSm8NMpA2CDlrPiAbFxkBlkqT6JIaa8ZUzK0acvP3FrND6G032hDRrubA\n5JJKjjMIgpjph6aKkHKjYBgOTS3etKWquhUAgFCkCqsu/TLmr7jZs060bDbKawz1YKaogICtZPKh\nqSfIa6643Xp9JvbsJuCE6Ix00wf8M4fcbQvdpofSOEzM6udd7Fm28Jy/tdR2kuGkKiJYPmylxXcd\neaLkY002ju36vfW6vKbF83msYi5q522EmB3EYNfreffTse8BbH3y80iPnij5HFLDx3Bk+/9CVU59\ngCLAmQU6uJ0ZPQEJAlSVK4qQA0aw2k3IGUFAqLoaXNjeByHkI9t34MB3v+86CeeEkBeimL/yFoQi\nVQBs0jxxhdw8T4qQC7wxBlVVprB+zQGU6UZQIkpNmetjIv5769g1uAG8eM/9n8Z77v+0Y+4+U6Fr\nOjqPDWHnlk50tg/j4Xt24MgBgztIkTTEWAr9TW2oiVWd4jMtHZo49jwzIOQwVClNkxGOzsLXnv4B\n9ve3AQA0XcXjR56z1lsyyz8qo5qDIUsmVyxNyNUpV8cBYFZlFOVxm5DnV8iNv/lS1oXKSjRefx1Y\nQUDlmnMsUzfZ7N380nF7wsOwnFVTTyZ0KdfEN5s8CQDobnuy1H8pQAlIDh32LBPClZjXelPebXRd\ntxRyxSTYTYuuxvqrvotI3GjjlzDNksqqmgFQLuumqtex9w/W/ni3Qj6ZhNyl4GdGO41Ues7bM7t5\n+dswr/UmUznLn+pmp+XPnAcV+V6noxc4nfqcr97+TADHR6Bp8oxUT/0MllRFtHqR67rmUdDHg6bF\nV3uW1TSstbIkNHOc11QRHB9xeKWcPPy4Z9vphEjV1Pv5TJRVL0Td3I0AgEwiP9keOPEKAKC/8+WS\nz+Hgaz9Don8vksNtJW8b4OyFUkTf7pxp5AYYge60bozLsXAk3yZQRYqQ8xx01e6co8sKWMH7/CCE\n3A9jlRRadd7jyHRUFQkDJ7dA11Sqjzltsso4dpvKDWDhvo2IC/Y5bVx9GLVddvp9gOKxYuvVWPXa\ntbh396On+lTGxKanD+M3//kSdrxmZ3S1HTDujzeutEvpSr0KNVmecDBpolBzOTB52lETBIQc9oAY\njtXi8KCdvkoMrwiUPBM6TTXNKMyJE0vV/kwXIV+/rB4VtEKe54e3asjzmbpRYBgGoYpycJoEhUpv\ntT5nOY9i2pMacKwz01yszyYs2fAh1Dfnb6+XU0SIphqnUMTA+F2NBzCpaa6qXwUAYK0+5Mb6dP21\nWyHnQ5NXQ54d9W+/FC1rRNPia7Ds/E9Yy1hOQH3zJWPW2lpkZAYp5OR7na5e4Ksu+RIWrfvAtLu6\nTydICYMqZ07xmXjh18ovnejAjme+Ck1ToPlM6Ksb1pZ8nHwt9OyglHEPqIoIlgshWmbXu/Uce7rk\n400alBHIVN17mPIC4IQYVl/2NfBCzFL0SWDBDdqQdCLlGTNprAgws7HlxA68+/5PYsuJHQXXy6Wc\n2YMJ2bhX45H8hFyTJLBhQsjNZ7IpDGmy7JiDEhQi5GNRHJ7zescUi572Z9Cx9w84vv+P1njGuFLW\ndd0m6MMZEec2jWDhfPuZL0ohNJxYVvKxz3boug5WM373zm0zxysnHzY/lz/g2TJ7Hj5z0YexvG4J\nVtUXfy0omQy2vO/vceQnP5uMUxw3NFEEGy5c9x4Qchj14wAQMVPWST0NA6e65kfIZVWGrhnrsTAN\n0Rw15IqjB/lk4d5vX+d4X1Uedjith/I4dBLF8Du/2VLUcUJVleBVCQprXEg8pf4zYCzioFmEvN/6\nXNf1vBOkAFMPdgyV9fHDz1mv3dc2SxFCXogjEq8HYJj9ATRxtK8zQoDnLLkO1bPXgOO9QZzxon6+\nX2CBAcMwaGy5CmVmm7ZSQM6368ipVQBp6JZCPj2EPBybZaX4n6kg6r8yAwl5oZpMVc6g7/gmx7JV\nl34ZC1e9a8LHrTNLruiUdV3XoakSOC4Mlgth/ZvstNZTYcqp6xqQcN6bC+EcZgAAIABJREFUtEK+\n6pIvIhQx3KZJYGGoe5unGwjgrLufSPBpJhlABpjZ+PMhI5D12OFnC65HK+QAMGheqrF4/ucnnbLu\n7i9OUtbdmJBCTkj/OFRGcu8NnNxiB7SoTkEM4xTey0dr0bLQmekyNFxZ8nEDABKV/Sf3z+wWYa9u\nOurbXhkAhms7MbeiARvnrce/vPEzCJcwt8x1dUPNZND3zLNIHj4y9gZTBE0UrXs2HwJCDpuQh11O\nvO5011ExhZzsNNTJKiKgGoMFqSFnqHrxnKQiEp78GyEetQfc91673HO+Qh6FnDPX2d9eXB3isi98\nDoygQTFT1iVVQcs570V98yVGP1xLITdu/G6KkMuqDN6lmgaYGkTLGj3LGLawQnzP7oet16qmQqMe\nynTKNKkjAwzfAADQdbuGnOVCWHHhZ611Gha+AS1r3lPif1AYNY0bUDFrqWPZ3KXXT2ifZHIwk1Qv\nEuhgp0khPxtA6vFnIpki95Efutr+6gkWCZTp6HixZMOH0WyakhJlWVVyZumGDtZ0r6WfJ/2dr0zo\nmONBesTriUEbEdIZOSxVukKMEWmoVGu5Uu731Eg7uo/aGQKdBx5CLt1fYIsAAZzQdB3f2/QzPHLA\nv2xPlpyZmAMpg53mI+S6pkGXZUcNOQDopoO5Lstg+bEJ+fylt1ivx2qlyJNss3GkrA/32N0PhNx+\n41wYmpAzoFPYed1LSwTB/N8Cc+CSkM7ZJaScWnp3jumCLCl44uG9jmWjVXbmyMkFe9BU0TCufUtD\nNtfZ9bkvQsmcmsC8mhPBFvCFAAJCDgAQsyRlnSjkBtzVp690bsP7/nibY1lOzgHyPHM74+skKqKm\n6RAlFZEpUMhpNNV5U/B4zr92lp5kqUWkrcfmzYVcG4XCCsiEGeSUHKobzrFqk90KeRfVzzqnSpi7\n7M0AgHCsrsj/JsB44JdKVmp7JNWVtk5Au6fbARgVipyFqmRRVt2CaPn4BstiwTAMImXOY7ATbHvh\nJvgzAdOtkJ8NICnK7n7fhSBlh33ruycTYmYQx/c/lPfzjI/52GRcFzSRJQqzlBuBphrBZs5ncq6c\ngtKjoR7/VN/lGz+NZed/3PEsowOIfpN2OjuiFM+Ig1t+6gmKnNIU/gCnDch12D7cCXlgP57b+7Dv\neoroDCAlMwbRjpf5P99G9xmk1ibkxpiQOnwEuZ4e6KoKpoga8oqqZVh58RdQO3cjZs+/tOD/wvPj\nryGnA2S6YozBDOukHnTKOi9QBnW64UMj8Ao0RnUovgHGRiJlj9sKO/HvTtd1/OWPu/D4Q7vHXHdk\nKIP779qKF58+DEUu/CwVRRXQAal2xMpQVgQRx5a9ivalWwBWH3ebM2lo2PFe7OtHYu8+HPvNb6e1\nrjxQyIuEmBkEw/KeVDYyoL5z1Y15t81QinmlaETOycAnmRdheIpryOlso1uuXILzVzTkNbOix0F5\njJuEgA8DYBjkuFrH/wvYkU5CyAczdr2fpmsIRSrBMNwZbRo1E6DrGoRwBcqrTeMThrVaF/lB80lR\no+vI6XR3RzTbctVXLbfncNTdnWBqQMgDgR9xKAUcH7HOfedz/4Lk0Kk3bJruGvKzAaUq5LnMAHZv\nusPT/3uy0X3saST6napAnCq9oHuGz19xC1Zc9Lm8teClgKMmNiEzBbx9z704uvN3APwDXaciQJQc\nOgIwPJad9zHH8ljFHJRVLXAso+8Xv7p8+rcvViHPpft8l/OhsqK2DxAAABQlh2vjEfxtuf8cyN3l\nI5cyrq/Kav/swj1f/WcA9jyTGEXt/cY3seMznweAomrIdVVBJF6H+SveXnCuAAAC2d8ES1d4xiwH\ndT3faJ6/fKnt41RZvw4cH0UoKoHVWWTFmdktY6Zif9dR67WanXgv96NtfXj9pQ5s2dSO/l5vJhKN\nB/6wBft2duGZvxzAfQ8UNtIkhD2tpzBUfxwAkCkfRrpyEKmqAdx20YfGfc5EIS9bbMyNxYEB7PnK\n19H10CPIdBwf935Lga7rUEURbGgMX6NpOZsZDlXJgRdinskOidSUh/M/gLNKFmCyiEoJ8GbaNhn4\nctPUg1xSbCL1vutW4OsfvKDAuprv60IQzJT77U3XY3TARchZYihits2hzEE0M/rEsLzvJCnA5EHX\nVDAMa9Vr8Xy04OQ9JXnTdug6cscD05FeZl7b6T6IFiGvntC5F4uqulWO95MR5GHNWiRFSuH4/j9O\neH8TRaCQTz6IQl5sqnE2aZgJJQb2T9k5AfBtxVZF9dlWpBRCkWpsuPoHqJ17vsNobSKg01Ppezc1\nYkyEOR8Dz7H8KCYbqiIavxdX3NhCB6Cl3Ig1NhE4FHKtOEKeHvGfrE115kSAMwtxtjARInOnJRv+\nAcy8y8GJxnOtqqbw8y11xAgg051G1LRxnfuZRzGu1rskxb0YCFbN7sRSxnnWJORuhTzP+vFyg8CU\nR7NYteIIktmAkJeCvfvsLCshFcf3/vnPSAyPL2V76yvH8Puf295TDz/4Wt51JVHBybaE9f5Q28mC\n+5ZE4x7QWQ09zfvQvmwL5q6wedcFc9eN65wBWyGvWm/sI9fdbX2mpKenjE1XFEDTHG0I/XBWE/Lh\n3t3oOvKkRWYIyOBAVMTycH5X1qycA/QQBOohTwabnGQMeFOdsl4ssQaA/cfsiYqsFDexEML2d5Me\ncffINU2+TCKhA2g6tgqzO5dBJa7zLD8jWw6dSdB1FQzDIW62J2tsuarg+iPZhGeZ02mdUsip4g1C\n+Ps7X4KYNbwXQj6tiKYC4VgNmpe/1Xo/Gb26aXIyVs39dCBQyCcf5DrpO76poHnRiYOPYu9Ld05L\nnaIsjmKkb49nOR+KWwZlACBEJt/MiK7DDkW8hJe+Jxav+3sAmPbxe6h7GwAd4GtK/j0Ovf4L7Nn0\nr47fulDKesfe+9Fz7Dnq2DvQse8BKIpz4koCO33HXyzpfAKc3SijCLlfuYSmKWAYDhWzFmM0Mgsh\nMQYuxCASHUNNC9ttz9yINvl4yrhahGpyCYTcVMiZEu/F7mQfNA3I5pxBPk+AT88TtNB1qIpBwufP\n60Y6IOQlIdFhzicqjHm7mNbwpyeLM3Sm0deTwJ//4HxedR1O40SHQXbTSRFHDvQhkxLR2T6Efbu6\nAJVFf+MR6NDBjEShqvmfvaNZY6yNRyPQWR2pygE0VczGD//mn/GDa74KdgKZYUQhL1+6BAAwuPlV\n67Njv57aLDgCNWfMm5lwoJDnxdGdd6H76F+hqiLAsJaiS0AmAmEuDCFPPa4RsePAaxLqrrgclatX\noWzpEgyMZPHlnxoP7qlWyItNPXdjaDSHPzx9aExizoftwXL3iX1ISxlkpCx+9frdGBFdtYUKh5r+\nZtR1L4KqBwr5dEHXVDAsh6bF16L1gk/lcSW3kRC96UYOhZz1V8gra+12E1bKemx6UtYBgKNaFk1G\n6ihdpsL69DSfbqRG2gEECvlkgm5z5adKE/R2PI9cuheZxNSnsXW1/dV3ua7rlgM64C3TmAjmtb4V\n1bPPcaSn+vlM0GM1+e7IpLgUjA4eQnoc36Wu63a2Cl+NsuoFqJt3sSd1fSwQs1YAkKnxjk5Z13Ud\nAydfxcnDf7aWHdv9ewyceAW9HU6H+3mmEd5MCNwFmPnQVQaVg40ohz2WZ6lrkkDTFGgMgz/uewxZ\nOQdBjCJakX/8Z812aMu/8iUAAB/3BqZD1d5AmydlvQSFPCSMTyH/3OPfAssCiuJ8tjKurIF8e529\n4ArH+3RWLOn4ZzvYdBhaRES03v6++wZHCmzhj4cff9XxXuGN3+G+ezcDAH7+o2dw93+9iju/8SR+\n85OX8Mi9OwEAKzc0QalMgdFY3PO7/GnrqZTxfKmIluGyBUaGb0v1fMytbMT8qrklny8NaWgIbCSC\nWLPh9TW6d5/92YCdNaek0zjw/Tsxsmvs+vhSoYnGM2csU7dTPwOdAVDlLHghjuGcUzUkhDzE8RBY\nHrJPdDOVNi4kXpVQ/4bLUbV2DQDgzt+/goGEERWZSQq5RkU4f3TPdnT2JpFISfjQTavw6z/tBcsA\n779hpWMbjmMBGKSdVzn8tW0TRnNJPNW2CdmhNtDUL5S1SRJp6RMo5FMPopDzQhR85bwx1x/JjnqW\nyXlS1h3u/eEKhCLV0KFDzBrR0fA0KeQAUFW3AvNabwLDsA739/GivLoFI72GCyw7AybaySGjLUeQ\nFjt5oAm5IqfHzKxIDByY6lPy1DHHKuaCYVjUzD4HvR0vWMuF8OQR8vrmi1DffJFneVX9Soz02bXs\ntEEkJxiTf7ptGGCkc8cq5uQNHKlyFoe3/hfAsKhtOhd8KI45S67zXde7LaVMs0YpWfPyt4y5XThW\nBzFjT7CSw22QxVGUVS90ZCPQKiX9v8pSCgIV5CP9z2fPvwwVtctQMWsp+jtfRmqkHbquTUo9f4Az\nDyeyPXj02R9BOBTHtREGqQyAciMglMoOIe4yQNVUCRlFwr27H8Hbl9wATuMRryzwLNI0lC1ZjPgC\nw28iXFvrWYVuvWstm4SUdaZEQn61VglAhKI4xwlP8NtHIReqrgAvOOvoM9mcZ70A/tA0DawsgCmX\nUVYRQsb87cT02HMLRVHx9KP7sWJtE+YtqEHPiVHojABFEJEpG0GqsRtz9q5Hqk/Fc48fRCbhvZZy\n0VFcvGIDnhFfR+KvwNHDfdA0HSwVjOk4OogXnz6MtgPGuK0OhPCRc9+G8+aswXlz1ox5nrqqQlfV\ngmZp0tAQQjU1CNV456k6pdqffOgRDL60GYnde9H6hc+ifNlSDL76Gmov2liwZWAxIAo5F5i6+cNJ\nEHUwDIuBzJD5jiw1XvEsj3iqGjD7jdMpdGlCyDXJ4ZjWO2jXJkyVQv6+64x2Zxta64veRqOc1bsH\nDHW7vdsIRDz43BE88Ky3Tx9LObZzMo+7dz2EgYxBxrKuiWUkYyuOtEKuKjmkE8eDthVTBKKQF4uR\nnJeQKypNyCkHY9fEkw/FoUhpiJlBcEJsTEOYyQTLCahvvgR187zEYjyom3ch4pVGmv90Kv1jwd2C\nMcD4QavABY3dzOs8n5nXZEIWnfdfxaxlaL3gk+CEqKvl4NT331209v1YfelXrPc6NekmjuwqZeZ5\nZPv/4sCWn+D4gQd996dIaex87l/MnWkYOLkFPceeLdpMzfHdMMUbNwrhcsf74/sewKHXf4He9ueh\nqbayNjp4EH3HDbWGJufZUaPOkXN5U8yac57VkcEY63RoSqDUBfDHK32PIZI4hnNq+jG/uRsrZ9vZ\nGVkqUyM51AYpOwxRyUIxb7lHdz4PAIhX5L/uNUVxmLbxFRWedfwJudvUzSBmXY88iqHXXi/4P4VN\nhbzUlPVV1cZ9EhKchI11zVU4wZvtFo14/69sLrjvisUDux4Dq3FQeRkhynW/mGYje3d04dVNx3D3\nf7+K4cEMtFEecjSD8/6uGre871x84S3vt1TyF/56yHcfLFgsr1uCT179bshCDsgK+OE3n8DBvT0A\nADEn47c/fdki4wBQtkBDiBNwwdx1Y6ap65qG7Z+6DZtvuRV9zz2PxJ696HnSmXmmyTLkxCjCs2rA\nCgKW3PZPWPyJf8SyL3wOFStXQEmnoasqkocOo++Z5wAAyugo9nztG9jxmc/j0J0/RPtdvxv7CxsD\nmmR8V37eDjTOWkIuuwgJw9qEnIDUoG17ohezd67F/MPnIpSNO9pD5cxG9oLLKIZWrcNTpJDfcuVS\nPPDdG7CwqfhJG02Iw4IxKCZShSdKLBVZ5VXjf8maiongcroOp+1BVDJr6FmWh6aKOPDqTyw1MsDk\nolTFZiRXuIbcATchF2LQNRlipn9a1fGpAMOwVgs/jpu+wEI+COEK8KGyaSFiZwsYhkHT4msB2K3P\nUsPHkE32WOtMd6Awl+6DEK60MlHoeme6e0BoEhXyQqBLN+jsDBJsIynrmipbzvADJ52mPoqcwYFX\nf4K2Hb/1bcNYbBcDR7CcKf7ZuXD1u32XZ5PdUKQ0YhV25lBvh0F8dI0i5Kkez7YAHAFH0gJSUQKl\n7myH35ihaQpuLoviqlgY5VEvecyaAUFFzuDQ67/A7k13QJdSIFe8IBv3flm5/8RdV1VA0xyE288o\nii2GkGsadE3Dsf/5DfZ/+1/9/0lyDHN/pSrkBPG4s+SFc51LQ/MyuFHXYATIW855j7UsmwvanhWL\nl59sBwDEygRUzLaVWT0pIJPKH9hobxvAX/5ozNPFrIKf3PE0GJUDV6bhza1vwsZ567GoZj5yFd45\nJABIoQzEcBoDLYfBsxxYlgWnGAGkTFLG//36Nezb2YWRYW8ZVOWi4uewSjqN7AkjiHr4Rz/Gnq/+\nM9p++gtoks1n5BEjy4mo4/VXXIbZb7oKtRdfCKGiAtB1HPuf/8XuL30V0qCznCTbaRji9T31jH3M\nzPg8DDQzkBS0PcsDKefsTccwHAbSxjJLIdd1MBqLI9tNU4BEHZbuvtyR2ivnjIkUr0qOH1Si6roj\n4amrBw0Jpe2bVshrKo2JRkePVy2lwTCUYmKmHmXMWkzbfdNAOG1PIEczaYyKKYfiM56awgCFoeua\nkbJeghNyIle4hpyGm+jTCtLpTsgBUKTo1KeJa6rsSJsNMDkImYSTkMKDr/0M+zb/GwDj/kkOHZlw\nS59iocpZyOIoomUNdlYLde3RbcemwtTND3R2TU2D7WjLcgIYlodijvf9nVQdoOv7Gjz5GtKJ45Zb\nuxvFlgJoFEkGW3wnhVCkEnOX3uBZnkv3QddVR9q8pspIDrU5Wk6pighdUw2fAWrMo03uiCFesWp/\ngDMTmiphz4vfxbanvozhXqPmVMol0HvsWWudWNhLHiWzu0ku1WstyzA8DpjiBS8b11d5hX9wWDPT\nzFlK8STmbjSYYtqeaZqlkgPefs003Ip2MaBbq9bOe4PzXFxzlfLqFs/2JBBW3bAGadUg57lcEAgr\nFrNYI8vuyo3rcdMll6LumgxGG0+AAYPO7gHfbdoO9uOun22GLGoYqenCUJ09X49EnNfZvAvDOLnQ\nFtj2r/8rjqx8EX3nbsfhNc/jXW94k/UZqzuvn4fv3YHeLifv0BgVWaZ4B3iaeNNQqSwKck2Harye\nCjUXnAcA6P7zX8CGw1j5zW/g4ocfQPW5GxzrKakUpKFh7Pvmt/Hqre/B8NZtRZ+jtY+M8X9xkcKi\nz1lMyJ3GBnTKOoEOHZziJTlOQm7WVmsSqtbZExnS8gyYelO3UkDXkKuq8VrXgZyYv56ILu/hTIV8\n2HTpDrl61nKKfdN+f9Mv8KGHPh8YVE0xFMkoPSiFyFkp6zqDWd0LEUmX51XI3T3t6Zrc6XJYn0qQ\n63Mm1G1rquRwwQ4wOSAkt+/4iw4Fdqh7O4Z7d+Hw1l9N27lkzZT4SFk91aWCUsgpRXYyfBKKxYar\nf4B1V96B8hrn5JjjI1YNeS7jP5HTdX3MzgCZ0RMFP7f2Zf4+TYuvAZjSeuf6nQN51nNcCA0L34Cy\n6hYoUhKHXv8F2nffax9XV811dUTjdos5um878ZmglfUAZx9kcRRSdgi6puDozrugSGnsfuHb6Gp7\n0lonxHsDfPLQIYjZIassZv6Km/EsX48Xc6bpk2pcX9U+aegAoMtma11KAffrOV6MQj64+VWoVE12\ngjK78mxrjlOlKOSSKkOSeaRzYTS3Xuv4jHfVkJfXLPZsT/wrAJvAS2KQsj4WNE3Dnt6DyJjf1erV\nzRA4Af949TuxoNHwLzjZb6eJa6qG/btH8MffbcXvf/WKtbz6IhFV54robt6H0apeMMud/OhDl96M\nL777vTixcCeOLt+Mu9/9H/juLZ/BT9/yLdz1th/h8gUbrXV7WvZCYxUcXb4ZfU2HIUsqHrp7u2N/\nw3UnMEaHQOf/medaGHx5MzTzPpETBk8RKr2B7VkXXWi9bnrzDag6ZzUAYMXXv2K1SCN47QMfwvBW\n43z7nnsBpUJJGgIYV1bYv2ZMQn7nnXfihhtuwIYNG3DZZZfh61//OhIJ/1QFghdeeAE33HAD1qxZ\ngxtvvBEvvfRSCac+PfAScs4i5CZPhabrYDXvwEbX2iop44ePzqtDqMr40VNZ58N6qlLWxwO680Ca\nSv850GHfbN5ULPs9axJy8l2FXPXDOsXeGd24vEQH0SltghVgbEhmzSWddjoWCCGvHGxEY+dyNHQu\nz6uQe1PWbaOVQCGfPOiaCl1XA0I+BaisbbVep4bbrdc97c863LjdmAozSkUyHs6hcKV1bzkJOaWQ\nh5x10VMNP9d1jo9aKet+9fUHt/wM7Xvu9dw/rOvZoBRwuCfIpfsMMzh4VbRioOne34uUKZD9zV5w\nufVZOtFhvdY11TKqjFA93xmHWm58P37tqwKcPXC3T9z53O0F15dl4xnDpLux98Xv20G5eD1kVcGc\no+dg8e5L0dRhGOqWx6K++yEKuaNG3CdoxQg+hNy1XvefHkUHVR8r9va6N6E2Ngk5Uzwhz+SyYBkN\nisaBYRiU19kqOecKGAjhcrRe8ElUN6y1l4XoDijGfbetcydS4vT0jj5dcdf2B/HTex5GZKgaOqci\nHLG/67Jy47oaSdjf4TMv7MbR3Rns2d5lLRuYfQxfvuxj+MwlH0bzujiOL92Kd513veM4USGClppm\nfPRtb8E3b/64URpWPhsCJyAiRBzX26ff+Q7MviWF6zdehIFGZwZVoqYLiZpu9M05jLetcAZuCoE4\nl7vR9vNfou9ZoyRJJe7mPmUdXDiMtf/+b2h6y5sx521O09Dmd70j73Ej9XVFnyOBkjRFM5+OCDTG\nJOQcx+HOO+/Eli1b8PDDD6Onpwdf+tKX8q7f2dmJT33qU/joRz+KrVu34iMf+Qg+8YlPoKurK+82\npwJ+CvnWLiP16JmsiA5Zwb5QnUVAaaQoYyDNJOThMnvyseOQc9IyoxRyKmU9TQUOfvvnfb7rAICm\nUinr5PvQgfLheghMIUJuvE5ShkABH598KGbrOb6EyTupIQ+JxgBdNlqbP2UdbkJuDyoBIR8/dE2F\nRNXyk17J02mSd7aA5QSrFrH/xGZ7ORtyTBwqKOIOeN3FJwPEII3jo74KOU3CZ0J2ES9EocpZ6Lru\nqbPWdR2pkWMY6t7mSUl3X8dipt9jZucG3Q5uPF0P3GZrdJCSEPKquhWWSRuN3o7nrVK2KEXIaQQp\n6wGA0rOpRhL2Pa3rqhXY+s2+J5HLyagemItI1l4nHPYPRukySVm37w1d8yrxfgq5HxJ77e4KRFX0\nA3lGsiUo5OlsDiyrQTeFmebWN1qfcT7BtnhlM6JltgM93Q2D3Hc1I/X4497Hiz6HsxG7Hh9AY6dh\n+MyUK47nW3ncmO+lqH7uhzqdZaSp8kEMthwBz/GoiJTjy5d9Ave98+dYUO3ffmx90yo0V80peE5L\na1vwj+e/F7esugF33vAVdM23u14Mzu5A5+LtYMMaaqLFZ4SpBbIlTj5gGI5aZmp5arfjCxdg4Qf+\nzuPDUL5sKVbc/nUs/extnm20EroTEGSOdwIABB+ndxpjEvLbbrsNra2t4DgO1dXVeN/73ofXXnst\n7/oPPfQQVq1ahRtuuAE8z+PGG2/EihUr8OCD/o6spwpuQp6mJl4JTce9qRx6ZAm85p0UfO6Jb+PI\nYLvxJmv8OKEKe/B4bqszNW+q256VAjplXaGI9pETNjGQXW3UaIJOAhQ1ffMx//C5GN3tvND9CPkI\nFdFM9O+HqgSTmckEUYD4UHH1lqqmImn+JoJkb+NJWSfKkCuyzlHHCUW9tTmnGwjp0aY4ZT2b7HEo\nrscPPITdL3wbmaQRrBSzhlI7k9zezyRU1q0Ay4UdxpK6rkEzM56al78NlbVOc6GpKGNQVULII76m\nbjPtnuL4CHRdha4pjh7lYFhHEIu07KO3c2N0yNvFgwZddsOOQyGPuVo+0in/dB3s4vUf9N0+m+oG\nAMQr5iFe2YzGRVc7PrcU8iBl/ayFlEugrzN/T2U/pDPOZ3Mu1YOspmPTiR1IdHjHmFDE/9rXFG/K\nul8fcjWPerjyW7ej7orLrPd0DXmhNmgMSxTyvKt4sLl9O1gW0E2aEYna44GYR2mfPf8yhKI1mLPk\nOgeR5E2vorhUhpGp70p52kJWZVQNNVnvw+VOilcRN67DjNnPXdd1pAadv3uslsXvb/7xlJ3j3IpG\nzFrOomPJViSqe5CNG9zj+mVXgmWLr6ImNeTzbn0n5r7jZsdnuR4jcNz7xFMAADZUenC3et1a1F12\nCVo++hHXvgtkkvhA1zQMvb4VQmWF1Qs9H0quIX/55ZfR2tqa9/MDBw5g5UpnH+sVK1bg4MGDpR5q\nSiHnRsByYUTMWjEtedKzzkBmCBWcfxrwtm5DTWdEY4AMVdjRzYTLwTA8gxTyYtyEZdVJyHWKkPPi\nbHByCPGkMWkUB/L/b4SQD1CO9rl0H7raggjnZIIoq7xQHCEfFVNWayOikKucjPv3/tlhxGLVjfm4\nrBOcCWoumfhPZV3oySOPY9/mf8PJQ3+xlg2cMOq1Og88jFxmAKJZnxu0PJsasJyA6tmrHMt0XYFu\npjlHyxvBuFTZKSHkporL8WG0rHkvouVz0NhypfU5x0cwd+kNWLzu7yf92OOB5SwupaDrGmIV8xAr\nnwOW5Z0E3b0d700THGuMooMR4/FzrqpbgdYLPkXtz1YkGMqxnWFY3/uMBBXCsVloveCTaFr0Jsfn\nRLVXVQmDXa9j9wt3WONvgLMDh17/pTV2FwtVZZHJ2veDlBtBwlS2yxLe67Ci0j9l3VLIKUJetqgF\nLR/9CNb99MeoWmv0bg5V+yuNVeesRnzhQnt/ij2+abKM5OEjlppHg9w7bAkp609tN4IW9Aj67Kbz\nsHXHcsyp9GaoAMYYvfrSL6NhodMEjjfryTlOhZqcOfPpmYajrkzk1cvmO95XxI2AZ7JPxr/f8QS+\n9blHkTvBQwynIYUM1by8svhWk+PFly77OJLVvehcsg0fv/B9+MQsGR7hAAAgAElEQVQF78c7VnoN\nOfNBGh7GoX/7dwCAUFmB+X97K9b82/ex6GP/4FgvafLOifQRb7z2Gmy893fYeN/d4MvLkDlemjF1\npuM45OFhVK1fbwW28qEkQv7EE0/gvvvuw9e+9rW866TTaZSXO1NnKyoqkEqlSjnUlEPKJRCKVGHu\n0uvzrjOcTfgTch12jzzRGG4iVfb/LKuaI5I4k1LWlzZ71Zd41DkJLaSQA0DlUANYs41BQnX+rrRC\nDjNVKa06J22ZUW/wI8D4YSnkQuH6FILXTu60XodEe4LcPnIC+/rsnpLFEPLxpJXONHBCFAzDQfLp\nzT4Z0HUdPUefBgDfiVxq+Cjad99r1TKHowEhnyrQDuKAQbhJ1gLL8h43Yd2nJnmiIPXYLB9BWdV8\nrLjw057Sj9kLLkdl3fJJP/Z4MNxjjBcnjzxhtFdkWXBCDJoqWSn90fI5HkM10sMcgJUiXojAA3am\nAMNwjrr/UhCnVPJ4ZbP12l2TTp8fQS5tmB3xeQwyBbMNnZwbQfue/4OUG0aiP78ZVoAzD2Kmv+Dn\nGdk7rVY1Fq9vcwYDB1UN9fFZ4BVnluE1N61ELO6fYmsp5C4jt8Zrr0Fs7hws/+qXcM6d30P50iV5\nz48mBbRC3vXwn7Drc1/E9k9+2rMNGRdLIeQL2oyxVqYyMatmNaCntw6VFaV1EgmFTELOauCFs9aL\nekwMDhv+JGULNFx1w3L8zdXO5111mcFTsic4jA7aWRRcXRaZ9W0YqjuOuauK72wxXpSHy/C1yz+F\nS+afjwvnrcdlCy7wGP0Vwok/PGC1NCNBqLLFi9BwzdW+6+erNy8WXDQKLhwGF41axorFInnImFNX\nrBj7eV70N/DYY4/h9ttvxy9+8YuCCnk8Hkcy6WypNDo6irKy4m7APXv2oLeQucRkQJcBJQuVqcKR\no915V9N0DWzOe/MzGouerv/P3leHx3Ge25+h5V1pxSzZljG2Y5lCDmOTpk1uObeUwm17m/L9tU0p\n7S0kbUq36c1tSoGmlHKY0SHHDDLIstBiWKah3x/f4M7sakW2ZOs8jx9rd2dmZ3dnvu99v/e85wxg\nR2oHeEWdfGh0BDt27AAARKJxOFkKKZ4MREcOt2KwZ27Q1q/d4AIru3GgW+8hKQ/QiBv0drbv3INS\nv36+kXAUgL7g4Eh5wShqoAJtriDZUdYzWVX5WJzXvqv5jjnxOWJEmOhIWyfAhvJvC+DXR/8IAGh2\nNcCZ8UAGwMjk99536ADSvUqLgbIQMzQ0hKG44XOK+v29e88+YAJ15XkByoNEdEj/PWUZSLYCjmqA\nnUafvJgAeH3VWmKrbK+ZeLgL8ST5vtva+4DO/MKZ08GcuGZPFrLEmFLJBFIDZA44ePAIIJoXZQ7s\n3wewM6x0HiMtTYcPtwOsvWr5nAJTDIghjI0cB2QJ8VgCoMn3uG/PNgBAMs0CruXknlEQSejsmUiU\nJO7tR9uAnjxKyQlSfZB9W7DvAKlWT+l69bQAkNA7qC8ADA4OYTBqOFbSujigLhjs3r3fnp8rkPvy\neLfO+Ovs7EVn/4I4yukJBmB8gKiP17FQMTzlZkVqCRSiMS/GMy4EHeRe6BREvLnyQmyjzNvyGMGO\nHfYWZJLiuzw0MorxfPdFnteE43pLJZ+jD9dyz8kyZJkk5IXejwytuPjwrLbPmrPdWLSKQ8/xI+iZ\nRF0mFY7ABYBhJEST8dN7DsuDwx09ABiIXALOQBi7dpuVzKMx+8S0otaFc2s3Ypt3H+qFshP2/Z7H\nrcXe3Xsn3jALvJIjspdfita+PsDADKAa6iF392D79u3acx1tbegpmr5AakYUIY+O4eW3vg3sW64B\nqywG5D3X114HAPTwGYzu359324KyxL/97W/4wQ9+gLvuugvr1q3Lu+2KFSuwbds203Otra0499xz\nC3krrF69GnV19uIBM4VkbBCtrwBllQ1oXHUJRnq92B8dAcYftmxb5q/AWNZztMygvq4eG1ZuwJN/\nIhL4i5Y0Y8UG4l/HPvk0PG4BKZ4Mdps3tMDnmTvKyeU1o/jSz7cCAGgK+K/3n4ubbtf9Mxc3L0dz\nnR6EvnrgOIzDdtngIqRdpDIu0Oagxph7eyOlcKQ8SNeYVYz9PheWbTB7/c1H7NixAxvmwOc4tucg\nxgeBtes2Faa0fvTXAIDAWCMy6u+lLJ40LW7ChnrymXY/9yBEnkd5WSkaVumfU+CT2PPcIwCA9Rs2\nWdRb5yOO7tyD8MhBnLlmBViHF4loHw6++mcguQ8brrh9ysfd/ezXTcJgZRW1aFy1AZLIY9czfzJs\nScHjkpHkGbRs2mJhJcwU5so1ezKx6+l/aD3ADgeLTIokfmesWQunK4jjRx2IjrUhEenFihXLTBXX\nmcCxvYcwPgCsOXMDHCfIZ3w6iIz60bbjV6iqW4WBjgH4/QE4veUY6e3BkkU1aN8NlJZXoOmMd0KW\nJQx0PAeHswgyZHQd2A0AKKuowUhvN5qaGlBak/v6O350GAPHgGXLV8Ffsnga1yvZR5Yl7HyKtInU\n1NajerF+rI59hzHWb12QpxknWjZutD0quW8fg99DIapMis1Ll88ZNsMCZh87ntTH7aKyZVh85vuw\n65mvAAAGRWDvvmVgWBHlpeNYcwYZWyil+ieBA6DMB4IPa+s3ote/H30hfSH93C2bQOfwfwq73NgP\noLq+Do1THMf7B4dxTH2QtHc+sLvntj3+AGhaKuh+5EUez/6dvIuDdk97zjl+NIqBY61gGBHFweLT\nfg7Lhe5QAj0IoaKy1PY7kiUZTz77B7hi5jixuaoCV517Ka7C5ZZ95iKOvroNgwDWXn8d3LU1ptcO\nPPgIQt098D75jJa3rHnTVRP2bxeCXT4fEqOKG9djT+KsD0/cVnbg4ccQArD+0kvQP5J/AX7CqO++\n++7DD37wA/zmN7+ZMBkHgOuuuw779+/Ho48+Cp7n8eCDD6K1tRXXX3/9hPueKKhKqqrgS1ndWYhQ\n9gmzS7bS2iiJxu/3/gO3vfi/mrWXy6X3XfCCBJbVq4ZzyfYMAByGc+M4Bo1VASyt1xPwZMqcZJdX\nWFeWGIWyzlsScn0iqe5ZiYb29ciI5sllNpSLT2eolHWmwB5yFZn9ht9VBiBTEA2KrQxDrmlRNK+i\nG3tDT4VkHNBtjo5s/wW5PmWrcu1UkH2tq3ZJ2fZRDOdGOjkKp6d01pLxBRAYqctGIT+a5kDRDOqW\nXV0wxXoqUK+J+aK/wDDkPDVlcZrW2lb4dFR5inynFEWjevGlKK3dCIdhcVDdfiIbOdnQPjATMN9L\nZqaWP2j1PgYAScxdwacZDpyzCOmk0SZ0ZsaKBcw/kBYO/Vp9IBpHhncgmXSju1dPFNSe71hGp7v6\n25fj1z/dirERs41XrmQc0H3IC1VRtwPFTDy/2GkNSTIFmpIhSRJe6HgNkXTuNtRwMgZaYdE0LK6Y\n8rmqcDhJHM4wElxTEOg6XZBIkDHa7bbvA6doCtx6feyKNvUgUTeIMs/cXxg2QogrMa+NoKEqeDj2\nOikMl5y1aUaSccDsblCoUFyiqxugaVvrNcvxJ9rge9/7HuLxON7//vdj/fr1aGlpwfr167XXH3ro\nIdPj+vp63HHHHbjzzjuxadMm/OpXv8Kdd96Jmpoau8OfFKhWQ0YF1rEkWaH87Dlm9VUnyJfIGASf\nWJ4k7zv792t90k5DQi4IEjjDoMexcyvA5gw9OOp5/ugzF+AD16wCACRS5h6Jt192AVZtBlYNvqQ9\nxwpKspaHsq4haU4UFxLymYXAx0EzzkkFsZRk14pBmUTd1MQ7O0A9FRNGtyLumIwNoOfwQxjt3zXB\nHlODKhyXnZCLfAIin4DTvaCwPtswXr9GlXBjtVpV3p8NKzxizUXNG795rbqnJOQUxWhCb6pDgJ1n\nuL9U72NVt+89/FBO6zNZljDY+YJyvJlrgwlWrgUAk6USABQbBP6ClWs1D2RV6DUXnO4Sk0tLZHRu\nCdYu4MRBlkXTojQv2M+NjKISnjaEVnyEtHGmkoX3pNr6kE8SEwlLAbDtk5UkGjQt45nW1/DErzvw\nw7//DgDw1+efw2Ovv2radiQUBq1Q1r0+e4G6yUD9/hhaBOM8NYoAMwFRkNC6p0/TeWp/niSqXm/u\n5O/GC65DqPQ4hqvb8d3//Ci+edN7511hhQ+HAYoC67Mm5DRnvjfq83iKTxaUKSGfeP5uu+NOZEZH\nAUkq6Due8K4+dCi/x8C1116La6+91vTcli1b8PDDVvr3XEF2hRwAhuOEVr2sdLFpW052AoiCE1MQ\nFQGr5gPno33VK0j6QqAUY23WqYicxdIIKf/mKpycHuw4OFW4i4JXsdpIZcxBKMMyuOaCTXjyn09b\njiXLNGRQoPJo4lJxPwC9JyqdGIYkCTNWBTndIWQSBSusC4rAnrqoZAQl0ybrM1qp4GWLNQFE9Gg6\nlaG9Awfx6JFn8blzPwone/ITE5dPX8VPxQcRD3XNyvuoFcJk3F4nY8Hy7ATAmJBLIiiasyRrqqqw\nJInoa38SkpBB3fLCVWDzQRSSYFjnvAmC1HFaVBNyUBB5QnVVRQrtxB0pikbz+g8jPHwQThfRYZDE\nNI7tuR/LN/+nZftEWO9tNc7N00XjqrejrO4si/c4y3nQ3PJhMKwTviBRnk4uusR2ccEIp6cUsVCH\n9ni451U0rPy3gs6l59CDSESPY/mmT0zyUyxgLiJ7DqQy9qwXliNznCDqc2k6Y71n3vlB+1YJFf0P\nkVYxoxjbpFFAQi6m0paEQ5Yp0LSEA9sG4Ur5gO0+4D1A60MxADGctSaEEg+5b8fDUa1CPtH9VNAp\nK3aDDCMV5BQ0X/Djbz6Jimo/3vuxc6a0/9/+/hoOvT6KlouqMTQSBpR8xO/Nzb5qCtZj/TUVCLqK\n4GA4gJk7jIN4Zxfa/ucOLP3sp+FtbMi5XXpkBI5g0JYpkujVxQlW3fI1+BYvtmwzVRjfb6KEnI9G\nMfQ0EfMtLqDXHJiC7dmpAF6pkHOGSb873Ae/wwspwsIbMQTFArnAqaxBwB8qBwCkQWwFWIW+sHX3\n3FcQZ2hj9V6fIBilWm6kLWuvuV2gYH2ekilN/IbsZg0yubBVFCsVG5jsaS8gCwKfgCzLEPgEWEdh\nCuuRDKGZsbx1BZWWaEiGimD9smvhL2lG/Yq3WrZde8HXsPbCrxd+rqKAsUQIkVQUsizjOy/8DDv7\n96NttGPinU8AjAlAttWVMegiPbLPmyirk0F4uBWJaJ+mzNy0+l1Z73XqBBtzFaYKueKtnb04qNLJ\nxwf2oL/9KQx2vTDt95VlGenkGEQhPW/o6oAeUGsVcppGUfkq222yUVS2Ag0rrzctNBmTWSPCIwcB\nALXLril4PCsEDOe2JOPa+ZWv0JJxgFjfubzleY+Xb9FMlkSEhw/lpOYPdb+E2PixBau0UwTZDBqO\nt7+vGcW2S5aM7Bwa171nHdZuqMM5Fy3BjZ86DyvWVOd9v9Bu4njgrq2d8jkXUiGX7CrkCmU9ZWBQ\n/vfP79f+/vZP/4iDA+3kPCM6ZX0mCi8qm4hhxFNmjhQEEbFoGseOTF3Y80ArWcTcubMTx/frYwo3\nQZL93jP/DdcsvzTvNicDfQ8+jPixDrR+69sY37ETmXG9kBdpPYjj/3wQYjqNzOgYHGX247AQIW1U\niz58I4LrW2y3mSpMFXIuf0Ku+pVXXXUFVn3jqwUd//RMyJW+N85BemhTfAqDsWE0FNfiFz98AYsO\nnaVtK2TIoNI8ut10DJmSTS1pjLJaIhgswu675Urc8w17Gf6TiWBAT8aMdHqWIcm0IFoHPMblAmVT\nEQ2MV0FNwmU5B10raq12CLy9mMgCCkN07Cj2PHcLBjqegyzxhXuQp8i1v7nMuhJPybRpMcZb3IBl\nGz9mKxRH0cykJtqbn/4+Pv7QzfjUo99Ax7juc5oRZ8/7ezIw9t9nT/iqbzQAjA/uw/G2R3B42/9O\neEwp67OpvscHX/0JklEiJlVSbRZeKa4wJzoLmHkYLcZIQC1rtGwVpdUtYDgPRvvemLH3He55Gftf\nuhWZ1LjGPpkPoLMSclAM3D6V1k2ZtskFT6AWS1pu1B7bBdWx8Q4AFMrrzp72Oc8m8rWVDHQ+h6O7\nfoO+tsfzHkO1OFzA/IOxkFPb/CYAwLKNHwfdeAk4pUJ+4ZXLTfs4lP7RgIMk8NEUCewXLS3HdTe0\n4PJrV6G+Kb+bhyxJoFgWXDCI0nOnfo8U4sks81Y1bgk0KFpCctQQB3bobT7B0Tq8+nIbACAcTeoV\ncmoGEnJar5Bn2/DOV8RngkWr2NBREXOBpbJK/13ioW7EI72Y6+AjUfAhkoBnRsfQ+t/fxY6P34RM\nKISu3/8R+27+GjrvvhevvfMGyIIAZ6n9OLz8S19A1ZuuRNWbrpzxczRWyFP9/bYLVyrSQ8Qe0V1b\nW7AP+umZkGdioGlO65HtDJGLtbHIuurIKwl5ebwHTWO6fzMoGbSo/zguxTdyaJysUv3oMxcgGHCh\ntGj6/TMzDZahsX45oegaAyO1ci6K1sSbdjhsat9kRVhUOh9s+8cBCIK+qlTZdCF5j4WEfFoYHyRW\nEX1HHwNQuAe5KsTiEKwJASUxEGehZ/boaCe6lHssyacQMvh9J+bIdWBMKLJ75EU+icjoUaSTYxAy\npEcrVx+sEdlVsLK6syzbUBSF5pYPobRmI1Zv+XLOSt4CZg6L1t6AiobzESjVg+ZsyjXDuVGljFUz\nhZHj+qLufKqQq9+Nqv1BUZShIq4EhAXoShg9wWXJGsiIYgYUzc757ya7Qm5sd4gprS7R8XbLfkbm\njWhTIU/GBjE+uG+mTnMBswSaYsA5A9hwxe3wlywBAPhLloD3VmsJeU19Eb7+Q73FpThAku2hMFn4\nPdZbAc5Fw19U+LXOh8KQBQGBlSum1e6Sr0KuUmuljDUhl2WKWJnFcldfXUphKh5LaT3kM0NZJ8dt\nXtwDGnMjZpguRkO6fexrL1jHi4kgyzKouLVKe83nm7C4UneqOrTtDhx67X+mdpInEIdu+wHGd5i1\ne6RUCp1334feB/5q2d63bKnlOQAoOuMMLPn4f5gE2GYKgdV6wUQWRRy67facjI30MEnIneX5GVdG\nnJYJuZCJgXXqCtPb+8gk2BQ0KPEp33HPsXGwNEBBBm1IVigJWHRoEwCgJnxY+/EHR8lEW1kyOcXr\nEw23kwySxmo4q1DW7SrkFE2DytEzkZHNq3NLRrZjWVz3oxUEfXXI7atWnlug7E0H2YJQjKOw601N\nhpmMlbJOyWZRt5nCa707TY8zoj7Zb+3ahl39+b0ZTxS8xaT9RFWtV5FJhdC24y7sf+lWZCs154OQ\niZoeVzbaJ3hF5SvRtPpdC/3jJwgOVzHqV7wFTo9ekbLrgXa6y0yPp0MzlmXZpNheKKNlLoBmnQAo\nbTGKomiLrkQhQp2cwwdvcRMA++9SloUZFXObLRgr5KzDb6Knq5oyqdigzihQYBxXBMGaVLS+8kMc\n23MfQkOtltcWMHcgSbzteJERebBKQh4odpuS5oCfFGYGDq3E70dEdHXWw+ObXMKgBfgVhQf4tsiT\nkLvrSSInZawLZjJoUJQERshN1XW5yWdKxjPgOHJfMDOgEUMbKNgV3Nxoc5suRsZ17/onH2ydNBV/\nbDxqKgoCgMjw2FC7ZkbO70Qj0d0NR1mZRbAweuSIZduGf38Paq+3tlLONmreci02/Or/sO5nPwEA\njG/fgYPf/h5ix6zXZKyd2P65qvOLhBpx2iXksixDyMTAOYjCZetQGwZjZKBbVWGsTlHwxAk1SVBy\nFMZgR1HRtxzuRBAAwEq81uA/OJaA28kg4D35QlX54HKSwEcQjTZX5POJEqEFZQ8QuUQM0ooSPcuS\nBQunmERlXHO6hGTom1ITyWw67wImB5o2/xaFBvghRT+BzlhXrbNF3WYKkZTZHuWIoW98Z/9+3Pri\nxPTvE4EVm2+Cw12CTHLc9DxvSKxFm0DaDvFQNw5mrUpnVzWMFcMFnHgYK7F2VRyHO2h63HPon1N+\nr76jjyNlEPIrlNEyF0BRNBjODUHRnyAJuflalmwq3nbwB4nAzoFXfqRQ1HXIkgTaRkByroHhPHB6\nylBasxEM4zAn3pqeCo/uQ/8y7cdn9HHQrkKuon333TlfE/kk2nffi+j4sZzbLGB2IUkCKJse3ZSQ\n1irkRcUkAe8bIIt6Lp+6iEOheMfFYEQHvIHJxYgphQLrLCubYMv8YGzslwJnrMLa22/TXsvZQ07n\nTxrVlrd0SkRpCXEiUIsw04GxAHGKtJBjPGSOi/btmByt/PgwaXuJ1h7HYB1xekiU5e5Hn8u992I6\nDSEag6euFt5FRNNDtQlL9ZH2PmeFLrxb3LLupIiiUhQFV0UFvI0N8C5qAgCM79iJPZ/7L9N2QiyG\nsddeh6umGp7GxoKPf9ol5KKQhCyLYB0+vHF8D7753I/xei+hSXiMAZpMwc37TPuW02HYgS/1gOY4\nyLKMwbEEKoKeOa+gq4q5GRNyY4X8Mz9+Hu/52qOmfXIl5CnR/Dwti0DcONhQ2BujULv0TdrKsh1l\ncQGFI5t2VmiA3xsmYnpSys72jMYf9k496ciFSNpcKX74sFWtX1Im8vFkWLMgPBkgCxvmictY6TYG\n1bkgCikc2nZH3m3c/mosXf+RKZ3jAmYGxiScZqwJudtvDiSTUxSilCQBAx3Pmp5jHb4cW89NsJxH\nT7pt6OnZQoi5oFJ8JSGFw2/caT6GLM6LCjlFUVi95UtoWv0u0FkJuXHeH+vbYdpPMIwdE2mo5HKw\nCA23IjS0H0fe+L+pnPoCZgCSaF8hPx4ZAJdxgWYAp+JYs2vPSjz21BY4nNYFc39gcu2MM1Uh969Y\nbnnO09AA/7KlWoxnS1kHrSTkuRM7PkOq4pm0iKJAFKAY+BRWzHRg/L6HQhO3i80HhCNkUS7hJQWA\nJx48gL07ejE2Ekdn+wgkm9ZRI7o7SPLdUFGFG952IY6tfBUbrjDPWcZxWc4hNDkXICbJeMh4PWi4\n4V1g/T4032R24jjjv2/Bpnt/i1Xf+Cr8S5tPxmma0PTB95seJ3r0BZXhF7dCymRQefllk8oFT7uE\n3CjoZhSXArKUCWWAVirGJQminF7qFrGu70nLMd1+ElzFkjySaQGVJXO/+sHSVgE3lQEgihI6+yOI\np8w3MO2wp1jFhaznZRl01s3//BiDqkWXaIHvQoV8Ygh8Avu3fh+jWYHd+MBe9B19wvRcoQl522gH\naIqGlLIOEnQOUb7pIpqOgZ2gjyyk9GR//KGb8fEHb8bHHvyyZtF2IqH6JZO/SRAVGdEpU/HxzgmP\nMTawx/JcSZVZ7bOs9izTey3gxMMY5NkF2NlCZSI/MS3bDpJgFu+pbLoQFQ3nTulYJwsMq1+rtv3i\nBQYd/hJz359RS0SWRFuLxbkMmnFodnDKM9pfDrdZpEul/AP2GipGob9UfMjy+kjv6+jc/6dpnO0C\npgvSesJbxgZZlrG9by+4jBsuD2MIwilIEg2GobQkXYVaRS8UXfcS329H8fQsAVmvTaygnK6qIm1X\nIZeVaztflfzAfpKUCGkJHCuCYT0zsshmrJA7YzNniXgyEYuSMWCggVhLJ+M8/vmHXfj5rc/ivjtf\nxRsvd+bd/9BOMkYUlTpxXsMm3P6eL+Cda68xbWNcLIyMWqnfcwVSisytjNOF4PoWnHX/vShaq1Pv\naZcLropyOIqLENyw/mSdpglFa9eg8vLLtMe7bvoMQntJ+/PYG0QvpvzCCyZ1zNMuIVdXqVmnj3jw\nGV9L6QMNBQqsTAaB8lg3AIB22iuNB71EhXosQi6q0kkIdZwssKxaDbdWyLMTcRUUmyMhN/hpBlLD\nKI/3gJEFrFtfBcpNjkUpgm+UEvjmsoVZAEEs1IU9z38L6cSIJQjrOfKQZftCk7uUmEapuxiJmLGq\no/wvzc5wEEnH4HfmXzAYS4SQ4lMarWo8GcZIYmrWYtOBkfrvcBGlUtWOCQASUd3WMBcFTM5abFqy\n7gNYtPYGAEBxxWo4XMUorZ7epLL9+B4MxReUmqcDYxKeS3jI6C891R5y1RqpuGINWi79LuqWvXlG\nfbZPBDIpvY0juze6uGINqpouKeg42dWCfoU5EB07hkxqvCCxxLkEmuEAWdLmM+Pny3anMLJrsnvI\nZUmEZOjDt/seulrNwka5qugLmD2ohQSaNdO+28e6MBQZBSs44PZYE1CKpuB0mseYYHHhLBmj7zjr\nmz67ZvX3vm16rF63+SrkarpAUxJEdwpVFSM496xdYBj93JzDJZBlGamYCJYTwBWobTMRjOOzOEtx\nyolGPE6+439ruRyhUqtd8pEj/Xn3j8VTkGgB61qaAADl3lLQWcxJ42JhIey+kwUxRRataZfBAaoo\nAGcloalXv+nKgpXKTxQomkbzTZ8A7dLzvQNf/ybEdBp8OALa6YSzNL9zQjZOjSt7EjBWyP964BHT\na7GIoZIhU2AlxWpBVgZhp8M2IRcVWwdBaTY3WonNVXiUycEYHqk95H3Dhl43Q8KeLbagIp3Rj7Jq\n8CXQkEABuPKKJtCNSt+hOpgzakK+UCHPh8Pbfg7kCLjsLIbsKnx2yIg8HKwDcUNCzjmUa2GWKuSR\ndAwBg4iiHcaSIYSyqO2ffvQWPLD/4Vk5p1wwJl0OZ/6kKVu0TYUomiuilOG3WXzm+7F6y5enVR3f\nN3gIP9j6C/zo5bumfIwFwGR1lsu2q7z+HO1vSZyaTY2aONEMaxFjnC+wo1tzrmIwrBtL1r0fnLPw\nJMGonRAPk8XuI9sJBTvb13muQ9dEUS3hjDNqln2iYWwZPb4Nqfiw9jhbSFLgkxMm3AtOJSceqoZI\nthNAf3QIrCKU6jIk5FW1ZFEmUOSGI6tC7g8UXrhRKb0AwNhVuCeJojOy7TXVhFyJzxRRt/TwsOZ9\nLlNqhVwCFwA2tLQiWBxFZbl5Ybh3bABc1AOOFWZMvNK40PopOrEAACAASURBVCXNo4T8+ScO43e/\neNWWfp5OkkW8RRW1CC6zfqae3tz94Ntf6QSdckBwpbC2amXO7Yxim/l0K2YLsiwhnZy4sCKqFXJD\ncktRFFZ9/atY8/3vWejhcwn+5WZnnDdu/Aji7e2Q0pOPF+bPlT1DSCfJ4OF0l2iKqCoiYX3QIxVy\nMoAyyup3zVuuhWfZEusxRcUuTPFHpOm53T8OAGetrkZNmRc3f3Cz9pxKWe8b0YMvXtAHklK3OYku\nryMTQ9e4HlhQhiBE4nkEPSSpoSQK/dEhjZIonwQ68nxF9uRPM1ZRlkInvozIw0Fx4DN64OtwkN/E\nlcyfNE8FvMgjKaQQyKqQM1k0tpSQRlqwDmDZi2azDSOt1OE2J+RVi8xVwGRsEHbI7qc16iUQy6jJ\nr/SmhQye73gVoiTi2WMvAwA6x+e+t+hchrlCPnMWKWP9u7DvpVu1QERNrAqxBpuraFrzHu3vyoYt\nAIA159+MMy+6ZdLHWrJO9yPPrrbPN2Qn5MZWrOzPlq1E37bjVxjr3wWBT+jVK+Ua6dh7P4688Yu8\n7z0d1f8FTA3qb5g9J4uyCEZRvOYc+n3+oU9twWe+dhk8XgccWRVy9ySEf4W4/luz3tlzaFDdglQf\n8h0f+yQO3PLfSI+MQk0XKFqGy2eYwyiAomQE/OQa/vMTz4OjydrUbFgYCuLcqpTmw4tPHkFH2wi2\nPnvU8poag5X4i9C4pASHz3wWx1a8hgMbH0fcPwo+SkHgrQuUnUdH8OjfCDWaS+df2FfzHeDkjBeD\nnS9g/0u3IjR0wPZ1WRQxvms3jv+daBelBswxlae+DgEbzYO5hOZPfhxVb7pKeyzGp/49z98IYYrg\n00SYTWCcSIsZeAyVKkuFXFYr5CR5pB0cii84W9vEnyIrWB43GSBEpR9bpX7PZSyuLcJdN1+m+ZED\nAKOc9/Fhgz2LYWXP5WSxpePP2uOlZ5B9JYP1AiUbE3IBi31NAID69hZ85tFb0DpC1GEXKuSFg3WY\nE2VZ4k09477gYrj9Vdm7WSDLMjJCBk7ZPEl6lMCgsnc53LGiGThjHdE0uZb8WRXykqxklyTkJz84\nX7T63drfbn+N6TWa4bCk5UaU1RI/8VwiX2qVr3rJFSgqX2Xyu54qfrf7b7hz233464FHtUS8qbhu\ngr0WkA/0BKJuU8Xxo48jkxxDd+vfABgWaOZZf7QRpdXrseGK27Hukm8jUEauZ4qip7S4xDl92HDF\n7WA5LyQxM6fVfycCoyTkiWgfju253yScZEnIsx5nUuPo2PcHdOz9g1Yt9/hrtddjoQ7tuwmPHNKe\nV33Psyvk4wN70LbzNwv6LLMIldGRnWgKkgBKIveCyjQEAJZjUBQkMWZdo9m1IZvCng9iUg/yZ8Nf\nWa1N6ZR1cg2pVHk+EjZVyD1+h2FXGevXteL8c3ciEIgiscOnW55xM5eQj8vEoUESaWT4kx8rTARZ\n0se1rc8ewVB/BF3H9ARZ5CXIlIQitw/XrbwSm5rPQCIwhlVVzRC9KVCgMDJkpZn//peva39TEyxO\npBPG9zvxCfnI8W0AgNH+nbavt//il2j95rcx9jrZzr9ime12cxmuykos+fhHZ+RYcz9znGFISmW2\nP06qF80lTQAASqTx0AO6GBMlA4xkrpDTDgdoQx/D+r4nsHT4daxbQgZIQVGKNg7I8wmckpBLhoHE\nWCGnHU6TF7vPQwZbSbAfFGSex/iIQvESyXf014NEjGwhaCgcbFYfliTyJtuV6sWXFnQcQRIgQwa7\n05zIvfU961BTTxJkrxSw23XKiKTJhBJw+PCF8/5De76+qAZvP+NqXLX0IgDEmzylVMgrfWYV2b8e\neASJE0TPNCprcw6/SQ2bpjkUl69C1aKLAQCxHNZDalBeVLYCzS03mjxUp4qOEBGgPDjchpgysXaE\nejCetHd+WMDEoEyiboUFx4X07ar94ZHRIxjufQ3jg3vJ+83jCrmKmax40awTopix0LXnE9QKefuu\nuzE+uMcknGRMyGVZxqgSnGYjMtaGlMK28RbVm16TBKKrcXTnbwAQDYriyrUArAn+sb33IzJyCLFQ\n5/Q+1AJsIcsyjrc9BkB3C1AhSCJom4TciMvfbKaJZ4u85YMQI/dI3TvfXvA+KroGIrjv0VZTXGeB\n2kOeQ9RNiMW18YumZXh9OkvPXSqiqoIkfi4nuSZZVvUgnznh0qTgVU5VRiQ59eTy4QPP4vtP/xLS\nLGswZDL64pyQkfGLH76Ae//3FcRjJM6RBECiRThZBwIuPz577kfwwLv+D7dc/DmUVJCYr6tnCPff\n9apWEQ+NJUxtpIO1+YXaMga6+HQr5KKQRiZVuANOLNSJdIIULe0WA2RJwuCTZsedsnPnl9ipERWX\nXAx3nb6gGty0cdLHmP8RwiShVmZ7o0ShsLmUeMQVjWV7JVLaAEvLArhgMYrOWAWW1ZNPVuLRED6o\nfYnqjTIfKuR28LisicO+dr2PhfTQ64N6wE8GDdGgsp5NWc+enHoiJPCYyxYMJxuyLJushdQKmyxL\nCI8chiRmJlSItkNaDeDGyCTZuKQUX7ntalTXFePMjSRJl8SZrVZ1h4lYSZHLjwqv7p/qd3jxztXX\nYmMNCS5TQkY7v6KsavoD+x/G0+0vzeh5FQKGdWLN+V/RHyttAU5PKRyuIKJj7bYJmqQsWs2UhdPW\nrm1oU7zbRUlEOKULPv15v1XgbwGFwVgVzxc4Ltv4ce3vQqzPjNTk7ta/oe/o4wDMwdECoFmG8ZMI\n8uYa8mkC8JkYomOEqpqI6O0l2a0vFCj0H3sKAFBau8m0CMhnokgZrrlFa95j0GGxrxKm4oNo2/Er\nxEPdk/w0C8iHeLgbQiYKl7cSRWUrtOdHEmP47c4/6/Eia5+QMyyNls26fkI2hT0fMqNk7HCUBCfY\n0opP/+h5/OWZNry6P59IWH5RtwNf/ybUdMHvTaC+VB/jltda6diOYntq/3RQ7AlopxqNTT25fOWP\nA0g/Vo3RKBl3Xtq1ByOhEH77yMN4dvf2mThVAEAqrbSxUGbaeTyWwfhoHIg4wYicrQNNRRX5rK+/\n2IFjR0aw/ZVOpFMCHvwzKRr2Lt6N/ZsfRXKR9TdNJUZw6PU7EBpqNVXIJ7JanAiHtv0c+178LkSb\n1kI7jB7Xv0u7xYD0kNVJgvXNfYeqXGj+9CfR8vP/waZ7fo2mD30AK770XxPvlIX5mTlOEenEKMYH\ndgMAupTEcIlSIUdWPzklU4DSG85IAiouIVUx1oYuJESJuJNqIcbMgx5yO/g81s92+/265RbtcICC\ngcLuVvqNjLQZQ8Le+5e/WlR11XXXBcp6bkhiGpAl+IoXgaIYjU3Qd/RxHN35awh8HDTDYuXZn0HV\nokvhLW6c8JixdBw3P3mb6TmHkwXLKUGEsnAiidKMUUjjmQR+/vo9AIBSTxCsIUH1O8jA62RJAJAR\nM4gq1fSg20qbn8g2bTZAM05TddsYfPtLlkAUkrb2RILyOQqtuk6En712t/b34VFzVV4s0P95AVYY\nF7I4Z+5WDX/JEpQ3nAcAOPjqTyY8riTyYFi3Rbmdz8zfSvBsgKY5SGIGmRRhefiCi7HqnC+c5LOa\nHHIl5DTNQZYEHNl+F0JD+xEPdWmv1TRfhcrGC7XHRiE7j78Way/8OqoWEdYTn45gsHur6f1oWu1b\n5w3H0OflnkP/QmT0CA5tu2Oan24BRvQefhAAWfAw4hvP/AiA7lKSjyHpcOlzoBo/FYL0KEmsHCWl\nBe+jQq2MJ5K5Yy7NaUWJb7t//0dkQmb2FRUjSfaGllYUpV60Pc7KZWR+Kq1S2KUzWCFfsZSwRyjI\niCamnpCrWjmHerrw5Cvb8dz93bjjjsfQ+6yMrb/rn7H4J6GIesUCZtG77v5BPP/EYe2xnU91Qz1h\nCYYG9eT3yX8dQOfREUSKBxEq7cNlS87Hty75vGXfjr2/RzzcjfbddyM8chAM6wbNuqZFWSfK+WRh\nsG3HLzHU/Yrt95SM9mOsn+RYRuaTnQClkDA/x/r9JsXy+QaKokBRFBzBIGrf+pYptZacVgn5cO+r\n2t+dkT5wNItqH+mDtt4SFCCQZxlJ0FYOOYP115JPfgIVl16C6qvfBEAf+OZrhdzlyF/Rox1mlfnk\nAbJaR4ssDrxYgedf2miqkI/v2GWi1wBEd1bCAmU9H1SBH6enDAzn1oKtoe5XtG1omoMnUIfapVcV\nRIV94MDDGIybVTuN84Bul0FBmCH2wt9bH9P+XhxsAGdIUHyKyJtTEahLCWn0hslq75IS6wLDyegz\nZRV9CTVZM37Pag+/nSjV+OAeZfvpV8j7o9aE3wj6FKBBnywYE2bV4i7ntobvWZggsZYkHgzrQnl9\nFv1unimIzzZomoUsCZquS3nd2QVpYcwl5ErIjS4KsVCXRiNfveVLoCgKnkCtZR9/SbMS1NHa9dh5\n4C8a1b2o/AzlPZUKuZhBaLgVvUcezmkX133on1P7YAuwwKO0EzSs0mnjkiRp9pwTUdYBmBiWHFf4\n/JAZI+8xWRslI6Q8cyhXRK43Nc4FgDc+8CHTNlRk4oTO5yNJVkMdSXqn4yaSDUZx+aEoIJZITbC1\nPYxxxHNPteKNrZ3k2CGdldI/OjN2oglVOdwjIVKkz+MdR0aQAYkbRio7bPddXGkdH3Zt6wY4CX1N\n+3Hj+nfiPzbegPqiGst22bRyUUiCZd3ToqxHRvQFhHi4Gz2H/oGBY09b4rJje+9Hx77fY/T4diRj\nA2BYNzyBemRS4+g98gj6Hnsc+792C6RMxuQcAACl55xluzhxOuG0ieZS8SEMdr6gPe4KD6C+qEYT\ndaNFczWjvG+JXiGXBdCsuuKnf2XlF56PpZ/+pEazUAXQ5msP+UQ3A+10mhLu/vt/BwAoHqtBZMyF\neMJjeh0AMgbFwcBYFSADEqgFH/I8UC2GWIcPFMVoFRSj7dJkVKElWcLjbc+TB7L+Gxt/bbVCTsmU\nTm2fJl7sfB1FTj9+e/0P0VBcC9ZAEfZyHmTSgl4hFzLoifQBAM6ua0GF11wJ4E/C9aKu7q8461Oo\nW/ZmFFecob+oJGjZlHUjXXkmKOv/9fi3876+ONiQ9/UF5IaR/cBNkJAXGYT5UoncdjQA8aGnGQ61\nzVeZn1/wjTZBXRBRA8XZUGSebTC5EnLDZxGFJGKhDrAOPxxuMq75ipss+9SvuE77O6BQojPJMdCM\nE2ec90U0t3wQgL4I0HXgAbTvuhuDnS9gTGH+ZWO4++WF626GICmio8b+cbUlCwDccaId4fbmHvdD\nY+Ra9xdN7lrXKOvTSMiFHO1oxetbUH3tNQAmEIwTCl8UrylXEvIZvKdVVySKkhFLTI1+HU7qVqVs\nxglh0Hr/HjrWM7UTNEAUJDz3rzYAQImvCKPVxxAOkgpzX1cYbUf6IFEihurabPevDVSha+l29CzZ\nhfaVeiFmsLINS6prcWXzhbb72YFzBsA6vNOqkI/ZiLL1tT+JgWN6D7gopDXGYO+Rh5FOjICKUKiq\nvoice+fz6Nn7N4T37cfo629AUhYsyi++COUXX4TG9/37lM/vVMFpk5C3KaIoKgRJQGNxHUo8xfjs\nOR/B5TUXm14vGW4AeAYUBbBSRls5pDlD36HTbD/VP0IqJ/O1Qg7kP3dCWdfBSXqCmOCU/h5ZRvW1\nb9aeD778V+3vhqPrUTxSBwFmK6gFmKEm5JzTB4qiIctWGvlk/HrDKcMkxOsT0GKDwr5m1SdTyAjT\n/21imTjC6SgWlzTC5/AimcggMpoBLZD7p+81Ebd95THwcfK5Xu7ZgT0DB8FQNKr8Ffj5m79jOh5/\nEhgVajDhcBWhsulCU5WUypGQZ5IhwzbTT8hPxkLE6QKTyvoE7QWBsuWobLwAADQBrlyQJB4UzVnE\n/BYSIzPorIR8Pnq0G50YHG49WTJ+ltDgfvDpCHzFTdqit8MdRMtlt2L5pv/U93fqgpqqMCAANK56\nG1xeXeiSc1j7LGNj9gKTAHJWzxcwOage5KyBhv3dF5S2AJlC0VgVnB4GJRW5r+OScvLbrd04OYeM\nzOgYQNPgAlMXXY1nUdaLW9YBAJZ9/jNaLKv6kBtRcdklAE0Dk9CXcXIKW3QmF9kMBaNEYvIezwDQ\nN6IvpvJDnMX6GABefjz3vVQoHnpgD/o6yX3ncDI4Z90q9CzdiVhgBOHBDKQoh2jxMC5q3my7v5tz\nwVHLI1zaj7RHV1qPl4ziY5vfa2A0miGJvIXBVdN8FRjODUnip8xMzaT19gXOMDYZ1dNV8VJAp6sn\nd/eg9dPfAiWT82VbyL69f/0bun7/RwCAf2kzln32U9O6tk8VnPjGzJMEo6COrFQX69y1eOSve3HW\n+cvQHT1o3SnNwO0gtyylJOJOh9UDWsU9j7QCmL895ADg5GiT1ZkRRjoTADCGpJpXAhAKMtw1ukBe\nSbIfq87wofUAGVTqOtZCbN66QFnPA95YIacZSEIaUpaH7WRWO4fjOgWL5cn1W9sYxMZzdGq4anlH\nyTRS4tQmu4zI4+ev3YP+6CDeteZaAEC1nyT9P/7WUxAFCc2OLWhb8yJ6dpMBOzJM3kv1IBdzJC0n\nMjGtWnQJ4uHuvBVujU2StVCSThmFu2ZvHFgUrEfHeA/EBRr0lDFZ7/Fg1ToMdr2IRKwv5zaSmCF9\n0Ukr7THbn/50h3p/hYfJ3DsfE3JPoA7eokawDh+CVWvRuY8EmcbPoganvmCTaV+aZk36H7QheaEo\nSqmYUyipbjHt5wsuBsN5THNAeMQmflGQTo6ZEvwFTA1qzGJcaAunyWK3JxoEKzjRuLZYX9y2wfmX\nLkVVTQArVmeLCOdHZnwMjmAQFFPYIu+z27vx7PYe3PKRc7TnYlkJ+apvfBViImkS0qI56z3I+nyg\naBqFrieuvDAIPk0WLSdiHk0G6pxLUTK2vnwIq9bWYElJI5hJMNEGR8b14ylJosBkwIr655bD0x+H\negeHtb+Ll1J429q3YlnZYtwbfgS+CBG3DVf24gMtN+c8xlcuuAmiJCEpJPGD+D2QIeOydZtQF8h9\n7WRS4wBkUEo70PLNn4SvuAmRUUI5F4XklFxf+HQELOfFmgu+ClAUEuEeHH7jTtBKy2FktA1dBx4A\nQMYxNV6VjpP/U/d3wvm+BsgpMgcmOnVNDVdV5aTP51TF/C3lTgNHSoiy89h2Fjte7cIT/zqAof4o\nvD7zjUhlWLgdZjsIzmG/hmHslWZyrF7NBziUvibjooJanVUTcq+LQiA1bJtuUJDB+s0q2c6wWV1Y\nyrALom55ICiTPKdQ1iFLWpKubTOJhHzIJiFffkYlKMNvrAYRlEwhM0U/8J5wH17r3Ymu8HG82kNW\nTqt9FRgeiEJU7PMcGQ88cT04lIXC7pWDQ/bUrkIRy8SRFjJI8Enc9cbv0RvJrThbu/RNWLbxY/kP\nmLNCrk/42XZ1U4GqcWFES/VqvG3V1QDy9wUuID/0wKSwhRPi/0whGcmdkEdGyXUqCtYex4UKuRkq\nZV21xpmPCTlFUVi++ZNobvkgWE6/3+0+i8NGOJCiaCzb9Ak0r/+IpWWsouE8VDRYbYAoiobbZx+U\nqx7lRrTvumehRWwGoMYsRu2JM6uIlRmXIYspZdX5VaJZjsHKtTWmuXciyJKEzNj4pOjqP/njLuxp\nG0H7cZ2xFUuY53WKpi2q1nYVctbrJQsBBVbI3/GWLdo9PbMLQUrRgJIRCFXiT7cewB9fenxSRxgZ\ni1qeo7zWeyOenJ4i+dAwqSh3LnsDzXV1CDh9uGjROaha5EPbmhdx+Mzn0LyiEu48Pu31RTVoCtah\nNlCNeGAMicA4zq5bn/d9VU2b8rpz0HLp97TWGJYlY1P/sWem9Hn4dBScKwCa4UDTLHzBRXC4SyBk\nyPfZtuOX2rY1iy/X/q699K0AADkiQOyIg3IxcDXprCJ3XS2K1q6Z0jlNBunk2LwoAs7fzHEaOBYm\nq3fHD5GLqf3wMEJjCVRUmykTlMDApVBv1JXDXCuUo2E9AGPnaQ85oCfk56+rRXmQULNSGbKqpdL1\n371RxMbeR0z7ySrZQpbBuF0480c/0F5jY+OmbUWJXggQ8kD1l6UZp0JZFzUau4rJJOSq6Mx/bn4/\nlnqbAQA+v3kioAyU9dQUE/KnDNZkQzEyIZd6itG6x5zAGPUaEtGMJoYDAF/c8gnt79su/zLee+b1\nAKzq4pNBKBXBJx76Kj7498/hey/8HM8c24rvPj89BeJclPXBLqI+u3zzTTPiOy3IInwOr6lX3KhY\nLy1UyKcMlvNg+eabyKp/AaAZDi5veV7rM7XqW1JtDZy8RQv9/kbQWZWtmbIJPNFQE2lTQm7DvsjF\nyPAHF6OobLnta7mgir45XGYbrJrmKy3bikLSZH80WQiZOGIGlfjTFZLIg6JZ07heqVh5MsqcxnEz\nTzrlI1HIggBHyeT7x43e4+PRiZlvVK4K+SQS8tDQfsTGO+D2V89sD7mNxtHRF2I2W+ZGKGTdnlJ0\ndSRKgmMRieP7hkYRCSWx/ZXOSQvKioIEJu1E3D+GRctLcV6j7kd9Vl0L0u4YeGcSFzWdXdDxAk4f\nPrz+3fjw+nejubQp77ZGFoexEk4p+j3DPa8gNm4vJJf786QgiWlwDnN+5HAWgU9H0N/+lH6u/uVg\nUqTow0SdaHz3u7TecDlMzq3syi2ouvoqLP3MTWj52U+mpEY+GQiZOPa/dCt2PfMVjY2ViPZhsPOF\nkyIWnA+nDWXdiL1Dh1AslUAQzME0n7EGty6W/GAqZZ3JMeAOjesJ0mTUM+ca1IobTVNY1VSKF8Z7\nEU/ycDtZLWBK9g9YakoyyGsUAEiSid5OjQ4CjE5LEUUK8gwJh51KEPgEhrpf1sTbKJoBRTOQJVGr\nkHPOAOkJnES1Ta2QLylpRGdYQjfGUFxiVj9VKevOlBfpHJT1BJ9EWsjY2pIBwLPHXra8Z9BdjP6Q\nWfXTkdJX5Z/41wE0Oy/AkTOfA2AWKVtc0ogKXxnu3/MPAIQS75gC3ergcJtGiT+iJPajyfF8u0wI\nLSjL+h3Ufk1jz+d0IEgCvA4PbrviZnzw759Hgk+CpRjQSn+6KC1UXacDXwGWgUawnBep+DBkWbYX\nwVTGT7VS2dzyYcRCnXB5y1Fcvmra53sqIZ00jwtO1+Q9lucSmAkq5Ebf++mifsV1oBkO5fXnmqz4\n/MElqF/+Vgh8HC5vBZKxAQx0PItMcgxu3+SpoZKYwZ7nvwkAWHXOF+adCv5MQpZ4baFFkESEUxFk\nJB7ecClqulYDmJ2EfPApIpzlLC+b9L6jIb1QtP3gIBIpHh5X7jnUtkLu84JiaEA0blcKKWNe5Ckq\nW4nwyEG0774XAFBcfgZmFAbKuorJrkdHwikA5rZTOaNYv5Yn4Xa7kQHw17v2gGFopBIChgYjuPr6\ntQW/R2g8AQoUOJ+Mr174KZMTyjXLLkFayGBZ2SK0VK8u+JhXLi1MxE1lcVho6Ya8MxbqhC+4KO9x\nSKGB2HipSazLa2bruXwViIU60Nf+pPbc0Pcfw5D8GKhyB5re+T4AQN3b/w2DzzwHfpwUQEfY7Vhy\n/Y0orjgx82Ha0K58dNdvseaCr2ljZqBsxZTGxdnCaVkhBwB20EqlWbnWSgNzsSTgVRNMhrVPtofG\ndYqLcx4n5DxPPi/H0vC6yeSiiYEoVPxUv073XRIg1SKZIgNAycb1CG5YD9pp6MkZ1JVIAVIhl2Vx\ngcKZhfZd96C//UkM9xB7PgoUEpFeSBKPRKQXAFBWexYAaD61hUDtIS/3lCCurJJns0FUynrJcAPS\nNhXywdgwPvj3z+NjD37Z9vXslcZxxVs46C5CLGqm71b3rDQ9dqTd2oTBZQWtPocXly3eAgDoCvXm\n/pA5IMsyfvHG/Zbnp22voexvFduTwLmKTdWy6UCURK0afnYd6SVdUb5Ea4vJ1XO/gNkBWZSUcy6I\nqWKL6oJNUfkK1C69CqU1G2bUAuhUgGxgSfmKF83bCrkKo9iXXZ+mXdV8yu/FudG46u1we83BJM26\nUNG4BTXNV6KkugX+4GIAQHjk0JTep89Q/YpHpq8+PZ8hSYL2u96+9Rf4xENfwfFwP6q79MRzposx\nyb4+dN//BwCAf9mySe8/HDJTr/uG81s22jFAGbeb3JuGajvrscbKi9beYHpcVDGzCbk6phqnblma\neB5PpwSElfg8GSbj81s+pjNSpMUkPipbxcBdRD4/n5aQSpDxadeRI5ZjHtrXj5/f+iz6ekKW1/oG\nSALoLmYttqQcw+Fda66dVDI+GWgV8qyxxpj8qnG3LMsmXZNEtA+SyEMUMjj0+h1o2/FLyLKssP4o\nVDScZzpm/YrrULVYj0Mz/+rT4jh5OIPys7dor1VefinkkE4Zb999txbnzjb4jLlNYax/l/Z3ZpqF\nmZnGaZuQV4QakR2TbzinEcFScyDtohW6tuqBmCNoONqr35jzmbL+jkuXAgAuWl8Hr5vc1KoYCKUm\n5AO6yjDd3m3af8nHPwKKYUAbFOi5LNVHUbGTk8QF2roRsZCZSmRU6R7oeBYAEQZqufR7ttTEXBiO\nj8Lv9MHFucBnRASKXfB4zRUcI1vELuF+pXuH9nfSpj82Y9OfQ4FCkdOPWDQNls0/1DACOZ/XnurC\nv/60GwN9uqrninJCsz8yMnna+ngqjCRv1887PaqS+tsY1e5lWQJkaUYrfYIkglV6Fj+84d345sWf\nx7kNG7WJXlpIyE8o1P5RO5cDPhND39En1Q1P5GnNSxi9uKkJVO7nA2hWn/NsKetTYPdMBIpm0LDy\nepQ3nIdFa26wLDT6SpaAolnEp0g5V8WggAVnFJWyDgC7+vcDALrDfXCldA9rxwyyIAAgNaj7V5ee\nba/Ibdkno8dV0ay+8bFIfv9uiqLQ/KlPmhmONE0SdQMbi7XpDTde85yzCB6/1Ut7eiDXtt9voJ2L\nE4+zv7vvRfzPd57GE4/tgTDKQeDSWNOsW9fd9K7ra0b6PwAAIABJREFUUX59FDdedS2uvnQjZGRZ\nmdqw0B64ZzvGRuL49U9fQiJmZhT29pN2vaLgibdx1Cnr5vjOX9Kstbeo7Y5D3Vux8+kvIxkbBCIv\n4OCrP0Ff+xPY/exXkYj0Ijp2FDuf+iISkV4UV6yC00MsGzvuvhcvv/VtSPb0aQUiAJB6ybUVWLUS\nDTe826SaXnv9W7Huuz80ndPxo4+fkKKckCbXS2nNJgDAyPHXtdfUFsO5gtMyanAkvaCjbixZUYEP\n/KcumsI5GLzv4+eYtnXSZHBTByjOSQbcsri+WhxNZPDQS3qyMJ9F3a49fzH+9J2rsXpJGXxKQh5P\nmRNyIaqvONGyOalWFyyMfSEO0TwJSMogajfBZ1JhDPe+Nud6O2Ybkh2F36aKyzp8oBluUhXecDqK\nYhcZHDMZEU4bylraoMAa5xPY2vWGKcnuj+qBgV0SmOCtIihFLj8YmkEsmoYvkNudAAA4pUr+6nPH\nsOeNHvzyRy8iqQQTy8pIlefI6OR6nwBgLGFdwQbIYsF0rjE7lXX1N5zJvjlREsEqyT/HcFhVQRbM\nGC0hnxs95JFUFF996vu4Z+cDGE+GJ95hnkJdiJFsFNM79/8ZyVi/st38nQNOFOqW6faYE9nOzQcY\nP4Pdwv1MVsiNKK8/Fw0rrrOosavn5PHXIBHrn7SokcAnkIzqbDhRmJr7xsnEQMdzOLL9Lgz3vm77\nenj4IFLxYdvXsiEKKcvYTsvm39mRQ/R3qkgP6fNutstN30gMv/znPmR481gUiemxhJqQlyq+56MT\nJOQAUHnZJTjnL3/U4g82EFAo6/pc53SXo6LxfASr1uk7Gsa84vJV02ehZUE9Xk2Vbl1GFTCFHz9G\n5qPXn+4GneIguzMmZfZKfzk+seUGuDkX6oJVuOozWW1ME0yxTz9idjjoU4pz5RUn3sZLkhT9IZux\nZvnmTwIAeIW92Hv4QQDA8SOPADy5zwc7X9C2d7hL4AnUoahsJWqarwIApIaG0PdPsl/nPffB4SoC\nJ/oh7CSfueHf34M1t34H9e96h+m9KYqCK6i3uzjdpRD5BCIjhzHbUCvk/hISR6qCgwDAsPnj0hON\n+T8LTgHncRdhGDJWr6sBa6AYURSF4hIP3B4OyQSZvJwUSTgpJcGkGRoXH70XFGQAxEP0SLeZ9pDP\n9mKug6IorTKu/p9NWRcNCpRMVkJAK73IjMtl2EZP2j1FLCRRDWqtAcLRnb9GMjYAlvUgWFV43858\nhiTy2PWMVVjKLqjnHD7Lc/kgyzKSfAqeAKFT8rwIzmFDSzNUsH+7888AgI9t/HdcuoTQjvqjOitC\nsElGouoqpDuo9WcHXUWQJRnxaBrV9cUIjeVWLnVkXBAc5mCh+9gYGhaXoNJbBifjMJ2DHRJ8Ei7W\naaKJqdT5bMiQwYs8HOxUlZ2VRSXDaroasNIzOMgLkqBR1k3vrnzGudBDvrNvP2576X8BAG1jnRhP\nRfC5cz9yks9qdqAKkck2opRGsbeZDkZPRdAMB29RA+Lh7lNO5NNugXW2EvKJoH7HiUjvhL2jRmhs\nDwV2zgFzHcM9ryKTGkd07CgAGWW1m5FJhjA+tBex8Q6Eh1vhcJdg9ZYv571niZ1h2jL/yoJ5HwfH\nITE9gW79PTMZtN95FwCg4b1mOvjDW4/hrn/sAwCUF7tx/UXN2mshQ8W2s59omjRVBzAaTmEsXPhv\nuP5/f4ZIayv8S5stFXKa5VC/6C0YH9iD8YHdAMxjXtEs9AfbVlPlicdZyZ0Bw+upDqN0lkRXtyt+\n5teatj+rYR1+s/ofKO5uhC9SDlnM/x7HOvS4JJXk0XcwDpHhUV8/0wyBiWFnzaeCc/oBiraIksZC\nnbbHWnO+2ZJNTKex46O66G5o9x60/eQORF/YA4ph0Pj+96L6mjflPDeKorD4zPeBpjlwzgAOvvZT\njPbtQFH5ypz7zAR4xbXI7auGx1+LRFRvobUthJ1EnJbL+MIoCaqaV1SAYa03m7EPyAVlxUkR66Ad\nDjj8XlRedom2TSKVVSU+RWKx7IScYqyXC21IyClZ0hJyimGw+Xf3oPrNxJ7pHW9pwEc/dwFYjoak\nKJLaBWHqYJGK50++TiXkqjxYE3IKLJffViUbGZGHJEvwcC5IkgxRkOCwSchXrLaK9aSVwUqWZfRG\n9UFcsKm0qEl4ha9Uey7oLkIykYEkyfD5zUlqUdDcT0uLrKZUq+LPd7+BO773LCiKgodzI5mnQvPG\n8T344N8/jwf2P6Q91xvpx3PHXgEAfPrsG/Gjq76O/zrvYzi7nihgJ6YRYKpsEWOQkFHEQ2bK6kWW\nZYiyZOuzqj43F3rIX+/dZXocTkVO0pnMPtTKpx1l3TS5L1TIC4JacZyPyV4+pOJDluecnsmrZM8E\nVHX/eLh7gi3NELOcPObjb2Rc9O9u/RuOtz2K/VtvxfEjjyA83AqAjNtCxmqHZQSvLDizWQm5lBXP\nO2ZQ1I2P6OdUtsXcv6sm4wDw4m6zRk/YkJB3D5BjnLuWWE1NRFk3wl1bg8rLLyMPaAaUsYd8Amq+\nx1+T9/WpwC55YngHfvuvR/PuR2X1mbu95Pe87QOfwh2f+H+2+3zluo+i7koKAptGFglUU66PBUaQ\nckcRGU9pbLvweAKyBESCA6gKTF6Eb7IQMnH0Hn5YuzfVhNyuPYaiaECWkIoPIm3onRYFsoLkCdRr\nz51x3hct+w89/az2d8MN7wYkCcMvEMr3ipu/iLq3XW8qxNkhWLkWReUr4fbXgGacSJ6AOF+tkHPO\ngEXnYK6Naadl1JAOy3B7OHh8TrA2Saaxau5QKSCq7RlNY/Pv7sHST31SP16WOnt16eSSprkKr0Jt\nVgdxyoaKT0vmhByGbbiAX7tBiyI9qK4rQqCIg6wkXrJNYqepmM6xG2V2YZ9UURRtskpiWNekhY+S\nCpXczbrAK71ldsIzNEMjUOaEwOqTHqX0bI2nwohn9ODMrkI+miADfKVBXTzoLkZMEZHzB5yoqdfV\n2UvKsvxPJdZkh6YipSwGuTgnUja94Cpu3/oLAMDfW4kv6UB0CJ9/7L+xvW8veT93MeqLarC5bh08\nShJg11teKCh16DQkxOkU+Q6c7pkJvHllwSpb6A7AnOohPzzSbnpsp0FwqoCilLHLZjHRmMBQp+fU\nOmmoPbl2bKn5DHUx1RjknizoCfnkRNnELLeNTA620VxGdsBtouS6giivJy2KEy1WqLajnMNver7i\n+FLT45lUWZfS+vfvLCvNud3RnhD+/JRO/TUm5Mk0Gacaq8h5TyYhN4JQ1g095Jr4m331ickjaiqm\nUtj7xa9g6LnnJ3UOuVouul7J/5myhd82Nx7F3he+BUgiaJqGJPKW6ntTsA6fPvtGgJEt+wtKi4CL\ncyDtjgICjUgoicf/uR93/YgkqIIrjabiukl9vqng2N77Mdj1AvqPPY1kbBCZFKGO03R+5t+RN/7P\n/AQTRGkNsWdz+6psXWKMv1fdO94GWont3bU1KNm00bJ9PlAUBae7RDvf2YSQjgKgwDq8cHkrsGTd\nB7Bk3QfBct6FhHwuIBkRUVJOVjoZG7EpI6WXVlblKMNAm01tygjkBv38Detx7y1XIhg48WIOswG3\ni3zmvzzTBiBHQm5YPqRkyfLdxDs6AQAdv74bL7/1bWDfeEUXdbMJwlQlYnXV7nRATmELisbiM9+n\nPZxKb7La2+2i3fjnHwm1jMvR58ayNChJ/41FpQqY3R/O2yQjo0qv9vlNuvBM0B3QEnKv34Wr36a3\nIBSXePCFb16Bd3xgAwDg6sWX4rObPgoACBSZP+cvf/wCPKmArZgcAEui/n/bfofXe3ebngu69aq1\nW7nGkjZ97wXDRmU9l6DKVKF+LjdrVefWeshPMmU9lAyjLzqIUncQFyq+qu3jXYik8lec5ivUBTG7\nHnJjVXyhh7wwaDY9p0APOQCs3vIlrDr3C2g84x2obLoIS9d/GAznQfXiy07aOTmUBcLxwT0afVOS\nhAkFlYwVSZpxIpOcupf5yYAkCZAlAf6SZsv3X9l0MVaf/2UEK8mcFJ3Am1mtsrFOn2nM90TNi6+M\nTYFnqhBiunjZRF7N9z+uq+iHYtYF0ZKAG24nMynKuhHEh1y/XpgJBArz3c/RI22IHj6Mtp/eAXkS\n85douB4pyrAfO8ExsijnAQf5LUND+5BJjmPXM18xeWkbIbMSKN5cwEhlyHmwLANPCfmc//OdZ7Dt\nJf0aWtHYAPoEaEmpdHORT6L1lR9iuIdYz+ayWKxdShirmVSWurijCmV1m1G9+DI0t3zIsh8fDiPW\ndhQA0PShD4KiaZRfeAEA5KWp5wPLeSAJKZPS+2yAz0TBOnzanFxcsRrFFWeA4dwQphMDzgJOy6hB\nloDSclKhs9N1MlYQaaXaky2oYYRaIfc4WZScIsk4AFSVZFX6bRNy/WaiIVm2yR5wXUIMkpRbZZ1R\nko9kpO+0EXbLNSlRFG1KwqciQJFQkrrw8z4c3k9o53Y95ACZYGhZ//3GFHGurV3bTNsJdgm5QoEq\n9egK40FXsTZJ+fxOE/PE43XA63fC4yWfyc/64aHJ9ZYtADdwPALncCkyIg/RZvC++anvmx4/1/EK\nfr/3H6bnjN7pbo58p4npVMgpK2Vd1pKLmekVVSn16vka4XGQ+6Q7fNzy2mygY7wHQ7ERy/OHlOr4\nFc0X4JNnfUB7/vsv3XlCzutEIx9lnTa4IpwyfUuzjNqlV4NmnKhfcd3JPpUZgdNTBrevCg5XMeqW\nXQPW4cW6i781KVeMmYZxkTwZG4AsSzjw8u04/MadeedY0RCsOj0lSCfH5tWcrArSEXEqcz9vsHK1\nzkCjaAx1vZh3gYLXKuQ+pIU0KJGBM+FDpKTftJ1dgWeqOPCtbwMgPs6TQThmbe1yOxl4XRwS6akx\nUSwq6zkSvtKaTSiawH/cKFSXGS/cdqrYYKPmWW5Y8GWsv1s8k8CdD/0Fo7FxIIc1Wio+iPAIEWTr\nP/Y0eo88jPHBveaNXDxokUXa0Jaa5pV5nqUQrLC3sqxoODEsWZWpZXTkAeyLAtG2oxh53mw1RtEs\nibmdzaBpFjXNV8LhJjFcamhI04vqf5QwD53lZah9K+m5X/zRD2Hz7+5G9TVXT+3klXEplbDGFYVC\nyMQnZO7w6Sjpn88Cw7rmXIX81FiWngBCVi8UoFNmXUqftLGn1ZiwUGpCzuYOslVakDNHojNfUex3\nwufmNJG67B7yNbd9Fy/f8mPtMSVLlio67TB/b5yYRqKACnkiehzh4VbEQl1w+6tQWr1++h9ojsIY\n3KsCPABJ+sjASgGQQU+hQj4UHwUl0UgP67+LXQ85QBaiKJkmXpIU8PDhp/H+dW/TaOAqwlnVz5SQ\nxvMdZKAvdesJORV24kgr6REKFLtM1mcen+JaoJxLJi1q1fRAsRt9PeZBlnPS2nt5HWY63PGoWaTE\nDi7DYoZHSXBzVdwLgVYBNQRx+QRVpgKVUm+XkJd5SrC2ciX2Dh5EV6gXjbNIj5MkCV968nsAgN+/\n/WfgDJ9PTchXlC8x7dM21jlr53MyoSbddpR1Y0C/UCEvDN5AHVou/c7JPo1THnXL34Leww9CFFLI\nJMe0f5KYzsm8MlLWne5SJKP9EDJxcM7JCYueLKhqyh5/rUWnxekmFHCacWhj+HDPa6hoOBd2iCkV\ndNbhR5xPYtHhzfDEgoj5zcnETFXIZVmGGCdxK+M2J31/fMLqKc8Z5lY1HjXC5WTh4Bjb1woBRTNA\nhgdA5lFGpaxn5bpNq9854bFS/fp8zYcjcJbmpuMbwTl8KK3ZgNG+HfjYO87Hrud/jfaOOnSMWVvE\nfvWXRxDZ6cIPtj8Il2Svdi6JPNIJnfWhtjNsuOJ2/T29AEaBkdEIamvJ+6Qzap82UFdbgkOwxrHN\ntbNPVzdWljNps26LsSgQ7+wCRdM4dNvtELxxOGp1D/mWS78LgMLOnTsBEOG2fV/6isZsBQBPYwMS\nXSQmXfdTPd6nOW5C5kY+uDzliI4dRe/hB7F0w0cnvb8sy9jz/DcBmH8zI0TBXowRIAm5LPHo2PsH\nxCO9kMQMHP+fvesMkKss188p09vO9t6z6Z00AkkIoYMIckEQVLwoehURFa+IegVF9IIiihcbiiAg\nCiogICH0ACG9bTZlN1uyve9Onznl/vhOnXNmd2azIcm6z5/dOXPmzJmZc77ve9/3eZ/H7kPdGTdP\nGssxU/xbrBqO7PidcWNnKzr+/hx6/vwEbv7Katz8tbUAgKEdO8EPSjcpBYhSNowaozdo1yGS8bPb\npl5+I9/vRELyqE7uX2ZdLn2FXBSMlaGkhSkjJJQKuZntmfbGiUdH0NPyBlr2PYXwaPtxfY5TGfJC\n3l+4CBVzrlKfoGhQFK1878wEBomfvf87WGP6CZ3nzSsBsmULLai/czhupPTc/+6vdZWS3V31yv82\njWp507ukqlBU6kP1jDx9QC75oFuleyYR59DdQYLw0gqjj7cFZOCPSgurlqFjeP7gxgl5kzukBehw\n5DjExzQV8kQsiIYtP8dI/0HpqckZB2RKvdMkIAeARUVEybY3dGKppIOaPq8jSdZzh/qawNIsarIr\nAUDXN3c6VdPShTxRm/Uz6ips0wH5NE4haMXzwhors5G+hlQvUVB3xs1KABs7jWjrSlXb5oY7S7Wy\ncnpLwVrVCqZs3XXs4N8x2KVvdQKAWGQQg107yLGsboTiYTiDZI6yRfULfXaSKuTxQbVyXHjh+brn\nntyot4qaU5UNjheU8TbZBq2swAOWoWG1MIbnMoFW1I2R5jiayZy1F+lSr79D9/1UeRw4dBj7v/M9\nJEbUZHy0p1fHIJQZlL1tm+F0RjF/biMpICQh0Ele4wpmg9Z4lWtdUYZ69o3rQ+30kfH+0KEOtDUP\nYmggjP4+UpCgaQpVmuC2v4DMjTzNoS6neszjajHcux/h0cyZbvGY+j2N9NXrntMKy+6+9avYdctX\nwIdCEAb07QwUResYNAPvvqcLxgEowXjhRReAdU9e5b+ollzXowNHiBd6htBWt4d7D0DgE+ASYYii\noMzFnCLoZqyQy9sGu3chHh1CIjaC0EgbRgcOZ3wuk4WpF0GaIDxqFDPpf+VlMKFWAMDcpUtgL1sI\nADhw9z2IFqwFPFWgKAqCTE8ZIxMUlSjrtaWTo658KsFmZRBL8GSwTwq2GZfToLJu6DNPomOzIqf2\nkJtQ1rWVJUEjYdqw5cGUWbDTHtJEylqcumBO/i5o2gJe4EBNkAptjeoH0YG+kOl+dptk7cezEBip\nf1zTy1/mK8axkU4A0FmGjUp9iRfUrtV8JqCvPYyiUh8+exvpNTINyKUKeV93AMdahkDTFGbOK8Sm\nf+oXiqxIvpcIF4UgCHhi7z+wp/vAmJ+7yJ2PrqBR7VjuIf/tjiexvHQhfPbM/UJVyjqPnpY3dGPM\nZFXIw4ognzktjpGqtWY0/slEb1BdhMs0f47n8LP3H0HTUCvqcqphlT7z98+9HV99+S70hQcxFB1B\ntmNqjYlqQK5f2JAFgLoynLY9m8apBG1ALguUAUDzvifh9JXB7jQqQnPxIBzuIniyaxEOdErbTh9t\nCGUxbvXA5szF4nN/CIpmDfdmUdW5inVXb9s7EIQEHJ4iuLyl6Gl9G+2HVOcOq8OP0LAmeEoywp4s\nyvr2z5CKYdk1/wHWnZqRcP+Xz8bjLzdAFIn6N8NQiHP6NdcVawl7SbZA6+oPoSg3s8DKf8YS9G9+\nTd0gfYfenBkorDoH/oKFaR9LWyGPdnZi91e+Dv+SxRh4j7Dsul5+BeUfvxrhtjbsuuU2FJy3AbVf\nInZb8nXMxTVrGBNKulYZnQKNoLcfrtFs9M3ao2xPxMypzgIfV8Z5n9+BMIDNL7ZgM1p0+7EuEWX+\nYgznvA+aZ9BTdgiUSGGgoBUu6xVpfReCwKFp9x8BpK7ypoIZ3dpfuBDVC65XHmuT4jL9nD8cAFOn\nD1BFUUTfW++g5bEnAAAVn7we2SuWwVlaCi4YQritDe5aPQvueGGxulGz6FNo2v1HdDW9iuqF14//\nIg0EDYPn6J7HYLF5db3xS8+/T9V+sBrXeFl58zDYRRxi3P4q5JefhaZdf0Ak2IOs/HkT+UjHjX/b\nND4rxOGqIp6cXFhPaZd9sxmGAh8Kg3E4TAXNZIyG4ijMcZoqtp/usFkYCIIIjhcNDfes00mU1SVQ\nMFbIRV4fLGgr5GaUddGEAjzVIVPWSbZS0y4hB+RSsJOp8JEgiewlB+S5+eYTvE1S1ddWyBM8h3wX\nqY5875zbsLyEVBNimoAkECOT4xklC9DXE4BrNBuWmAMCL+rei2G1PeQksy5XyI+1kIFUEETk5Lnx\nte/pqwIcR669r758Nz773DdwqL8JDtaunA8A/HDDf+Ou9V9VHmc7zYNBbcX52EiX6T7jgZXFBxMR\nRShJxmQJVMnBLz/M4ljLoLI9GkngqUe2YvgouW7MVO8nE70hlZYpMxSeO7gRWzvIIla+PgDCkFhb\nRcTd5OTNVIJcEUpWoDYK00wH5NM4dSBXFnkuYlRPjxiVjgU+AZ6LKjZfMgWWiMGduswXURTQ1vA3\njA40KhVy5TMwFtNEmd2Vp1TJuUQYrfV/wcEtD6Jp9x91wThFMWAtTp3jCMXrWYOT2UMOAM6KCt1j\nXtB/9zMrspV1p1w4SST0AbnbqU8Q//3NxozPg7ZaAV6bcKSVvyUzLjb06I+FxLA+EBaiUSUYB1Tx\n4GAjaYfqeXWTcs3JAbnWS9oUSV15OcVODJ+7G/918UfGPb9YRJ1rc3KMlVUZrmoe+c4ctNfsQVvd\nTqwoX4SuygNwZKV/DSQ0FqHjiSwmQzCxgR0dOKJ7zEeMQXtis57lEunoROz79+LwT3+GxNAQshYt\nROnHroCzlLDdWLcL3jmzx9TRmih8eXNBM1ZEgpmvw7RJcVHkDUJ1PBfTuCMYE1Ba/3OBiytWfZ2N\n/zK1ZJ4MjDd2TvkKeaqL3MoCRZddjMaf/xJ8OJmWS740u90CbiA4Lk0jGI6joijzKtvpALkvPpbg\nDQE5bbcTmroECkaVdWNAzoFXRN0yCcin7gJX/syEnm5Ualaq5hlW3R7e+jhEUUS5pQIJAJ/72hoM\n9IYwY3a+6f4KZZ3XBuQJiKKIXGc2PDa3QkmPcXHI1uJBeYESseDhh95EFVZi5pl+HMKQ4mYAAKxF\n/WyupB7yZLiSfMujBx2AJOAekLLjRe58XDJzvRIY1uZU6lTHs+xebKg+CzXZFRBFUbk2tT3ZE7UN\nk21duERYycLKmKz+o0giCojA3r8GsBfv4jv3XwqKovDcU7tw5EAPHJ00UGcusnc8CMXD2N6xF0We\nfFT5y3SU+Ji0CNjfq9ImA3E946LcRxZnbcOdWFg4Z1LP7WSDSVkh149zJ1o5dhrTyASMNOZ1Nb2K\nnOJluud4zqixwyXIPS23kMlzUPPeJ9CMJ5BffhbKZl1+Ik85Y4wOHAZNW9B37H30HXtfaRsx6x/V\ngqIZVC/4BPYONSt95wChEsuYv+ZOxfIsqAnIWd4KilKXRpPRQy5w6nietXiR7jmzHnA5IL/mzpcw\ntzpH108OAG6Hfj6aiNYRbbHo1n/Ho5GRXAAzvJeNnG9cE7gL0SjppZfmcK3FJETjukhI6KuNbrsT\nD1z8PwiPdiC5ScPmyNG1YsQig3C4CwEApcXZ2A8jKyTo7ceKkmrQNI3lpYsQjIXw5VWfQdH+fGyo\nOWvMz6fF/s336t7XjKmSCvI9arVnqXZnSWuP+OCg7nHuWavRv/ldMLwDvtJZAIDuf72iPE/b7Si7\n9pq0z+F4QVEUGIsz4+Lb6MBhHNnx2zH32f36t5X/aRNBZJqxYO7qb6D90AsonnEhrPYssFYPuHgA\nwaEWeHNqMzqndNDbtnnM56d8QC4vnIZ4AX6Gxu5OUjWzu+1gnWRRzUfIzT2yjwzAPEUyijY7Cy4Y\ngi3f6MknIxrnEOcEeJwnRwTgRMMmKWPH4hzYpICcoihdQE5LiYz393XBbmWweGY+Cs47F8O7CU3I\nUVaKeEcfBD51D7kuINdQ1s18EacKlM8s9YwrkCYfuTphJiQ1Ft5q2QIAsEacSADIyXWhsNiXcn+L\njfzWtKAOC5zAIZSIIM+ZjcBIFNQQqbTIFfLtHXvx4mFCZdv4qOpHzQ+Rc/bnqAJssjggoFLWkxcw\nF105X/l/3YUzcbi+B53HzL0q63KrwSZVo2mahtPiQDgRgYW24HPLPoHgaBQPfn8TcvLdOPu8GXjl\nr0fhys5ByDegVHwzBasNyJMq5Bbb5CTnIlwUxS0qdSowEoU3y4HuTpJVt7pSU9YbB1rQGejBmsoV\nGb/vs/Uv4Z/Sb/ofcy8xrZC3aWib/WH9pF/mI5nm1pGpp/tASwmpZJGo5MRvcsA+jWmcTGiF2wY6\nt+me402sfwzV5aRxtrdt85gBOekJFZXA5kRBFAWM9B1APDqCYwf/kfSkANbiSlsMlbW6TWnMWfnz\ndD25yTagFiuDeIyMwdo5bqIQJFst/7IzwDr17UqxuElArgnA648OYG61XiQtuUKe48tcHJa2WUFp\n138TDMhFQYAQjcJdNwOuigr0vLrJ+F6SgHKsr0/ZFjh0GFmLFpoGblRSE/mew02gB/XCr/I6w8zm\nirE4AM3muGY+K87NQ8Pi34FnE7K2LtiEDZw1hjWV1wIAvr76ZmX/axcY7wlR4A36S4CxIBUJdMFi\n9YJh04slWg88CwDwFyxAYLAJ4UAHxKRjDu0gYm3WnGxwoTCyFi9C/+Z3kdVXh8qLrgMAUFI77ozb\nbkX+ujVpvfdkgqYtGdscD/fWj7+T9j0o81DX7spD7RLV5q1y3tVo3PkIRgcOnpCAvLm1Zcznpx7H\nOgnywqib53HfUBAH2kkGyuF2KOqVfDiCkf312P/t/wEAiFIgJEQj4MNhxHqMfagygmFyA0zZgFxb\nIdcMfIseJGqLlLaHHAKCkQR++OhWfPc3hIIBCaC3AAAgAElEQVSUe9ZqrHjqcaz661NY9MD9YERN\nhdxMqVgTXOgpKSfXb/mEQlMhN/MylinrmdJoZK9qOmKDx2tP6T8uw0zULcbHEUlE4RQ8eODuVzG4\nyUVsQKSA5I+7n1H2jQTVyWCon2RvvVnq5K9lT2gr40WlapJg5rwC5f8159XhP29Vs811Pn0PU5W/\nDFX+cpxRshBfXqkOqj6bXMkg59B0qA+jI1E0H+nHY//3Pob7oihpJoF/3wQF0RiJuizwcV2FnGZs\nE/KLN0MoHkZ2X7ny+JXn6pFI8IoFi5Ag9yNvYsF156b/xUMfPIqO0fEV6JOxuU1dsB/qP6pT1Y9w\nUXSOduuq4n67PslT6CbJs7dbPsBtL9+F4cjYtiSnE1Ilx5Ir4tMB+TROJbApdCgAEqSIooBD2x5G\nw5YHIYoCuJgshqSvkKeDeHQYB967Hwfe++kJbzvrbn4DTbv/aAzGJcxedVvaeg5mtFYAKK7Rt0+N\nhvWMoPHm1UwhxMjcakYRTmj6w7Mle9DkiniC049FLslJ6LOXk+Suy565xglttYLSsM8mqpHBRwmF\n2uLzovZLX8Dq55412GbJtF5tQN76xFMA1ES4FnNrW3WPn3t6p2EflpUq6xIbJFvj2pN8jY4MqOyv\nEk8hPrb4Alw9/zL81/JPYkPNWaAcAr64/FOm7ifJ6Dr6Ona//h0dDV6GXOGWcXTPY9j9+rd1zIyx\nINOx/UWLUbPoU7A5c1G98AbdPoNbtwEUhYU/vQ8rn3oc7loiNidIvwMXjmB4J+mj9s6emdb7TjZo\nxpL5OJHi+iusOgcOd5Fhu2CyRjKDx18DUDSCQy2ZnU+aEDhz/SYZUz4glysZcREQALAcGTwdPhdo\nGxnQBrftwPAurbom+bHjA2SxLoshmCEQJgsvj2tyhJxONagVch7Q9C+5Kklv06yv3apss4LHln3G\nXhDW6QRttYK2WDDz1i9qRN3GrpBzMVV8Zir3k+so6yaZZ6V/L4PvQJ7U6nKqEQ1zcHnGTxjJAms0\nz8ArLcTaR7ohQoS9S6VSUQKtVMjtMkUqqTVmUArIfVnmC0HthH75x1VansXCGPZbuZZMIvlxfZ+a\ny+IESzP4xlmfx1kVKg3zkpnnAgBWli0Bzwl47s9G5VybSCbTD9p3TagnkmLU30RLnxuPHpkJgvEw\nog61x6xhbxfeeuUwohFyHXAxct5mPeSi9IM0DbaaKuWngiiKGNb0teW7cnTieZ2BXtT3qn1qH519\nAW5ZeaPuGIymGtAx2o3WD8kr/cOA4kOeHJAnTfjJfbrTmMbJBGNxIr/cnErLcxFEAp0IDh1FeLQd\ne968y6RCrl/fjJV07GzaKP0nov69+4//5FNAFHhTCmh20VLlf6s9NSMsGVrl9cKq9cr/tiR2Xjik\nT7ZZrUzK1quJQK6QMzYjzZaTHFLsVgb33UKqmZYkllk8uYdcCsi9bnI8Tsh8vqOtVjDaJOMEK+Ty\nWpqxq9dPxaf0Yl5CPA4+GsXQth3KNtkaLbfUyPjK9SclfBnj50uukHtz6tT3kz6XN5dQuCMBVfuE\noihcNfcSXDX3YqyrWoXPLfsEnrjq54pOynjobHwZgpBAaLjV8FxkgCTLub3a8xfR2zo2rVmG1e6H\nxZ4Fl7cUVocf8876b3iy9UWLyLFjsBcVwpqVBYqmwThIQqP7lVfR+MuHcfTXv0GouQXMooWwFxSY\nvc0JB01bTPWkxoK2f7607lIAgDurCsU1FyASMiq2p8supRkLrPYshEZaERppw0CXMbkzUYwONMLD\nDo25z5QPyOWbLS4rWXMsKFGA3edVAvLgkSNof+ZvhtcyEpWDtznwj7fMhTCUgPzfoEJuFri4StVs\nlI3i8c4edfGdLEACABaPG5AmFc5s0aoJyEf61W6fTG/Y0wl6UTeTgFwJ/tJf5A9EhsCLAnw2LxJx\nHnbH+AkjWWCNFlg4w1mACLx85A0AgJ9T+84pkUaMi0MQBUXF/ObFn0z6TOSvx6tfuC1ZWY4Va6p0\n27SLmeSAHACq68iCyDKsp4L7HfrFViQchyCIOL92DX5+8V04u2I5hgbN+9UstBVnFC/Awf4mNPQd\nMd1nLBDxPcpwXTKW1JWoTBGKh4kvvAYDfWqSKjLCwxJzgE9yMohrEjcPffAobnruG+m/Z0L/fW06\nql8cbG7dit/ueBIAsKpsKa5b8FHD7wAAV8+71PR8TndQEvWts2mjjrEiW/NQFAOKZpFduPiknN80\npmEGiqJ0FHOtEjPRwVArN3wijI4jLwMALJI6Mc1oq8AUeC6mJJIDg03YsfF2jA6QNZK2uhSPDJ4w\nPYVouF+nGA8AdlcBimo2ACD2ZhkdL6RWZD1+1bYqma4fj+o/j9XG4ut3X4Bv/ODCjN4vFZQKuc24\npuQlYbUNy8qRn02Cq2TF9GM9+hYqhzSvs4xUJU5hezoWSECujncT7SGXkw20JtlAs/rvlwsEsOWa\nT6jvxbKIScUxs/cVk3rI5Vw/71AFzWTfdDl5rq2055WtUv7aXfmm6uXHi5CJbW+wswUAIIZ4UpmV\nEBhqwkhfw7iFAkHgDIkyLfhYjPi856rFFFtuDhinEyLHoWfjJvS9SWzf2PVrUx3mhINmLIAopD1O\nCAKHgc7tymNPzgwsOe9/Ubfs80QPYv518GTXYu7qbyC7iMzDLl9Z+ickfe8HP/gFWvY9hWgoNUM6\nE4z01Y8rAzXlA3K5UpEQAYqnYYtkQ6Ro2Py+lKqBMmWddZBg4umcs/HI8+Y9C4HQFKesayrktlyS\npbQXqn1h2iyuleKw+7A6qYWjxoU447CTHwMAZzLwJVeaZPCJyAlTPjzZ6GwkFYVEPKBTWZfBSmIy\nyb3KY+Fv9WRBNdNH+mBsadDU5MC49OhC5O5YAM9wPtpHu2BnbUBAfT0tVch7QwOI8wmcVb4MS3IX\nGI7ndFvBJgXYl/7HQlxwud5SQhuEm6nUlldlg6Ip8P36e0yrot7dOYL7vvMKXnuRJHEKPfmgKAqj\nw+bVYUEQsKhoLgBgcAKUaoqiQNOsQenUjFI3UQTjIVBJiw0uiY5YcGymgbI+GtVfJ5mIvsn09Nl5\nM3Tbk2npAHBu9eqUx7lq7iX4zyUfBwDEpxB9W9sLKN+3gDpu5RQvxZIN98LmzP7Qz20a0xgPxbUX\ngrW64c2dhQVrvwsA6G/fgvZDz+v24+IB+HJnw5tDxgGt5SbppxYhcDGIooiORjLXdEmV8eQgWRvo\nTiaSPdHnrr4ds1d+GXZnLmYtv0WXdEgHbr+aKHZ6SzFn1Vcxd7UxmclF9YHS/CWlsFiYtJLe6YAL\nkaBRbqnUIiEF01rtlZI8PSuLF0T43OpcKbPRGKm/neMnViGnjkPUTUgkMLxnL4RYXDmeciyGATRi\ntt2vqONq7pqzQNtsCB4+gkiXeftVcpDDc4BACaCdGv9ypUIufbcWB4qqNyCvdBUKKtdi3tl3ICtv\nDlirBwIfn5QWSW2AOdCxzRBgR/uk4lWEN7AwGnf9HiN9Y9u6ikJiTEcXWRPLVVWpbKMYBrVf+i/j\nzq7J8xfPFKqDw9iJe+IvLqL90D+VbfPXfBtOTzEoilKuSX/hQtSdcTPsrjxUzL0ac1d/Ay5fearD\nGpBfrl/XxMLGdoOJYDQwOu4+U1/UTaGsi/D3qVkS1us1pQQBgDs2hH5XObKtZPAIS/2iTe3DqEny\nGh9VKuRTlLJuVQNyx4xizP/RPXCUqtRhrT97DoYhCOp3zHHGQY1xOCFIVNt40sQNAHzKxbuIRHQY\ntgxUKE8XhEYInSk82mE60eWWLMdg1w4UVJyd1vEEUcAbze+hwJWLlYVnYDfezqhCrjyW7NKKnAXo\n71F/K0qgEUlEFVur8qwSjEiBb36RB71dJKhLRVdPhrZCbtabZrWxcDotoOIMPr/sBuzuqkecj6PQ\nrVbt33jpIADg/TebcN5lRNk7MBLFwX1kEj/3ktnY8X4LhgfJeXIJATaK3NfRCWbEKcYoRsKM0auZ\nKYLxEGyiPqHRdDBpcUuJBsq6lnIuI8bFFYX8sSC/Ns+VjQbprar95fj6WTejPzSI777+E2XfYs/Y\nFDfZmzzOTZ0KuXYB1NPyBoprNoBmrAp7ZbIU9qcxjROBoupzUVRNWnq016pcBcouWorhvnoUlJ+N\nopoNynzk9KhMOIud+P2GAx1o3PWocu0zrB2iwBvGxNaGZzFr+Rcn/bPIXtTls69EVsF8XbuQKyv9\nBbiMktqLkJU3D55sUh1nU/SUJwfkckvVZCE+SGit1my/8b2lgFyudgPmxaDlcwrx6tY23TY5KBWE\niVXIoXtZZj3kTb/6DXo3vY6SKz+qHk97fJZVqud8SNMC5vWCD5Hfed8dd2L5o48Yjp0s6gYeAMOj\nPLcPncOl4HlGEb6TBQxZixPFtRcoL7E5SAKVkdS4BS523Gw3bYDJcxEMdu5ATskZyrboSB+QA4gR\nHqV1l8Dtr0bfzrcRspBq+lDPXmTlzx3j+JzCnpRx5Oe/RO9rr+u25a4+M+nxKgQ+cik6nyeBbdk1\n/4G+CWoCTAZoTfufthVG64wTiwzhwHs/0bFEK+dfO25LCk2zGQtCJ6/hIsFuOH2laDvwLBjWgdK6\nS0DRLGjGmraWgigKiA7tHXe/KR+QywGeNsyzJ4KgrdmmlCAAqBzai7k3XgPHzlcxBICTFmH3/WkH\nfvXNc3X7BqWA3D1FK+ReSQ17JEhuBO/sWbrnKQ3dKI/RBwJmmVjW6YAQJawQs4qvmbeijGRl46kG\nhrWbilV4squx8Jy7lcliPEQSUfCigFJfEeT8ht0+/q2e3AcnUmQGdgleCJr2A0qk8X9bH8PH5xNP\nzzJfMYbbyUTnz3YqAbknTTVXM5p6Mmx2C6JRDuurz8T66jMNzx9pUGlFjQd7UVjiwwN3v6psKyr1\n4bO3rUE4FMdrLzbg4L5uWEQyEUQSE7uuaNpiUG21uSYvYRSKh+EQx65EJKwR/GX/CzjQexgXzliH\nEm8hvrXpx4b9+sOD2N6xFy+0vIqvl/swGBnBmeVLDfuNyAG5U1Xq/drqzyHXma3rRT+/dg1yXfoq\nMJfg0dcTQF6BB6yFgVVSy01MoN1kc+s2BOMhXDhjXcavPZFIVstt2PIgSuouUezQJkvQbxrTONGg\nKAo2Zx5iYQ1VO7sGlfOuMSw0tcG71ZaFEFpxePuv9fuwNoMXMACEhlsm98QlyPRji80zKdodNGNR\ngvGxIGt3AEBxmW9SlNW1iA+Syr/VbxKQS0UOrbK61WKcIyqLvLjhotnwudU1AytVoSdaIRcnWCEX\nRRG9m0iQOLxnn3I8LeRgPBm5q8/E6IEGhI42IzFk7rZCUcDO3UfxweYm3PS5cyDyFGbVtKGusgM5\n1gh275sFliXjtlohN2eyyWKtPH/8ATnP6T9TS/3TAAXkFJOgXNZIEiM8jj78CCAIGHj9bdClDlgv\nL0IkmFqQNTTaTvqiRQpbrr0BfAorOVt+Ptx1MwzbKz/zabjr6uBfvBCs242+HTtMXv3hgDKpkDfv\n+zMGu3aguPZC+AsWoP3QC7pgPK90FXI0wnyTiWT9l3CgA3xrRBXboygMdGxF2awrkF9uXIuaHjPN\nos+UD8jlLGpUEMHw5OPO6n0PFHO5ro9FC0bkMX9BPpq3kR+Gk2jEURPLCXmANBsUpwJyfGRQ6k9B\n/aVYFqtanwUt8KDrqgDN2psz6VVinE7QAo9EggVjYkEh8HEiGKKhDMnegFORsq6d5CrmXg2KopFX\nthpOb7FuPzaDySEk+aS6rS60HZUm9zQCcmuSWqzcv8wE7dDWYClJJb9NqpCX+YpxYC+xxqqZlY9D\n9URUw+tL75xphsb5H5mj8yxPht3BpqSfb93crHv85G8/wKp1enETn98Bh9MKh9OqsAVoTgrIJ1gh\npxmrYpNjc+TA6S1FYeW6CR3LDMF4GPkiDYqmIGoSInaHBedeMhsvPrMXCavqC76/9xCunGPex9gX\nGsATe/8OAEqVu9iTj0q/vrdKrpAXuNXEQp5LalXRJIRuWnqt7nWJOId77yDU1YVnlOLyaxfDKi3i\nn97/T/SGBnH9wivS/uw/3/J7AMCiormKavupgOSWkmioF027/qBUMqYD8mmcTqhd/GnUv3uf8pim\n2XGrPha7ua2jwMWUIKK45nwUVK7Drte+BSC19dPxQAmuJpGVlA606/Xs3MkT8ZQR6SDCuPZio1q0\nvKbSCrmV5nvA0BSyPDYMjEgq5iyNj6zRz4HMcfaQayvkmQTkzY88qvyfGB5WjzcOKm/8FLxzZmPO\n/3wH2z71GVMKPzkXEf98nLSUbtq8CxAo+H2kKFBS3ItgyIFysRMdjWG1hzzFNSP7VfNcDKLAIxEP\n6CzvMgEvJbD55hCYKsK2aNn/NLw5dbDYvODlMmGYVxIWACC0RyD0xxCj+3RVYi0ad/yOvHSkwzQY\np1gWzrIyzPnunaavpygKeWenbjn7MKGtkANkrBjsIgmCzsZ/obPxX4bXJIvXTSay8uaiq+lV5BQv\nRX/HNoRHOxDVCMUNdGwFAHS3vJF2QM4lzBMmyZiaUaQGiThZYAZFESxHbjYrHyWKgzYb8tam8N0T\nBQhxSc1YGnwSJhTshEIhmppfZbZU5RwKmFcRaYsFzkQAdj4MyqnPOpoG5A4HWCEBQaQgmIg48HxM\nN1h6/DXIk5Q1k20ipgIEKRj05c1R6Dflsz+K3JLlEz6mbPflsjrxynNkourrHr//3JpUIff3k9YE\nfmu+brtnmDw+NtwBO2tDts2H998iHuSyABugtzwbDyvX1qBuTmoKtM1uAccJ4E3uwX/93WgT8v6b\nTbrHXg19Xg7IHSLZ9kz9ixOi8Vkd6kTtzq5B9cLrJy0g4wSeJApEGoXFXlz3WVVdtrTSD5fUI5jc\nYy5oEjx1OWq1p93E/izZPxxQe8jzXbn4zrpb8dAl31eey3fn4qal1+JH592hf09ewObXVdHL4SGy\nELFJAXkgFsTzBzfizeb3sb/nEMYDpxEPaug9gt/teApHBprHeMWHh1RBheyLOh2QT+N0gt2Vr7P1\nGsvezF+4EAzrgEXSNEkGlwhhdJCMA25/DWjGAlqqOMrbJxPBITImWO3GSvKJhCAthSpnZuPCK+aN\nvbOE4NGjiPX1p7VvpIP0FjuKiw3PydVt7XrT5bDgH/d9BJ+/UtVxMVuPytsmorLO2Kx6J5UMAvKu\nF9SeX9m5iLbqqdbZy5chGfYikpCwZvngWzAffCQCIWHiQ06pJ3Zgey/A0bCw6hySlzsEGgn0tLwF\nLhEGzdhSjuMyC7GraSNa6p/GvrfvQd+x99P9qAoEjkP734hPuBjiIfSr62cl8KTIOYox/TqYtloh\nDicgCAlwceO6LdbXr6yFmQHzVsRFD/4Ui352v2nbw6kG1daXfC/xqDkTAoDSsprccz+ZsDmzsWj9\n3SibdTlcvjLEwn2IBEzcozLQC4pFye91dKRizP2mZhSpQUKq+IQEAUyCLBCtfASURN8pvepK09eJ\ngqB49SUocsGMhuJ4c6deLdFsgJxKyJIoT8NB84BcS1mnkjKYZirrtMUCGjxEkTKoKooCD1HgdHQi\nxuJQBp+mXX+Y2Ic4hZFsLzMZCGoq5DIKS8a3f7Ha9JOUPeJVquFa5HfVAiJwbLQLZd4iNB8ZQCJO\nfkufX70GvGn2kKcDm1Thj0blLKqISDh9sTAtLV4OyN20+p280vhWxufkcKvihmZUzeNBWPoNKZEC\nzdConZWv/D4Op0URv0v+ffrD6nlsqFFtjvb3HDS8R0hDQZeDYLlCnmX3YH7BLOS79RT882vXoDpb\n35+5Z3s73nlVVapPSEyiyiy9yvH/bX0Md7/5s3G93wci6md4eNvj2Nj4Nu7c9L8YjKSeqD8sUOP0\nTk4H5NM43aCde8ZSba5ecD0Wrb87Jd03EujCcM8+0LRF6eEurFoHAIiF0wtG04UoiggHOmF35X/o\nAopy7vas82rgdI1f6eXCEey57XbsuvW2tI4fae+ALS9XZw0mIyRZXjIm602HhuGW7E1OXnOcFXId\nZT19mr6jzKh2n1whn33nNzHvnrux8AGVrSFb6wIA6ybXKBcM6nSE4hyj6yEP9QhgOAtsVjVwZ2jy\neUWBQzTUOybbUKasD/XsxWAX8ece7Dbapo6HlleewGixlETmBAg96vo51NOGYHczUETm8+yly1B9\n82fBejyY9c3bseLJxyCOkPOPmAgiHvzpTyGKIoT+GIJ/qYfFn4Uz//EMFtz/Y5zx+99i/r0/gFOj\n83SqQx5zRClRIYs1FlWfB1/ubFhsPhRWrcfc1bdj1oovY+byL8HpMSarTgQKKlT1ea0SPkH690BH\nD/lMjhQsDxlTM4rUIC5RSkM8BUucDHAWPkaUHQFQFnUQW/TgT9CRLQ0CgoBEKAQONHhNNu0nT+h7\nLRQKkckAOBXgcVpB0xSGU1TI5e8RAODQi6CYVcgBgKF4iAJlUFSXLeq0AyZjcYBPTL4NxakCWZF2\nsv2rAcBBqd/j6vW1477OYjVWRxhOXaD5c9SFGC2Q373MV4yRITWw0y4UvGn2kKcDu6QSH4uSYO+l\nv+3Dfd95BQ/+YJOyz5WfWILZC4w0P8OxpIC8r3tUsez6w66/IBjLjIHhcKkBeX5ZetSldBGMh0hF\nQqCUhdT8JWRhU1OXB1pKKCZXyDe3blX+X1Q4Bw9d+gMAwM4uI4tAtjjrGO3Gp/52G/687zkc7j8K\nO2tDrivHsH8q7N+l9xnvPDaCWJSD1+5Bhc+4MNhlci5a9IXMVU33dRuTCh86NJWh4lpjewA9HZBP\n4zSD06sRaU1D+NEs6WRz5kEQEkjERuH2Vynih/IiNh7N3MliLHDxAAQ+Brsrf/ydJxmiVISxWNLr\n+AweIclKrVhZKnDhCOKDg3CUmAdUOw8RrRSbSYtklkfTL26yHpV7yN/Y0Y6/vnZ4/BPXgLJMnLJO\n0TQYlwvOCjWRS1uM15lv3ly4q6ux6pk/Y9kffgd7gfrbsh7CyuACQcWmDAB4WHSyO2E3SeaKmmCJ\nYdR1pijyY14z0bAxWTyWknkqDFnUOU4M8+B2qMnk1sa/onn7U8rj2d/8bxRdfCFW/OlR5KxaSVin\neSQOGW1pQCzcr+gtDW7fgYjYSRIicQEQAe+sWaAoCp4ZtbDlZMM7Z3bG53syIetTcIkIgsOtaK1/\nBgCpVNcsvhHz13wLJTMugt2VD9bigDtr7CrzZMKXNwuV869FVv58FNWcr/Ovz0Q5or2bXJd+79hq\n9lMzitQgHhtFXBQxY88GuILZsDACaAiKzYLWA9FVWYnBBHksCiJGB0YQG0c1VxHZmKIVcpqm4HNZ\nU1fINaMhU6nPIP3qb3sxMGLs+2VpEYJIK969MmQBPm1PGMM6FDbDVMRkV8gHw8MYlCqMB54h3/2i\nZWWmGfVkJFfIASnwZsnv9JlbzsKchSQzSfNk3/KsEoRD5Hf7xOdW6F47mRVy+T1+/ZO38PrLB9He\nMgSKppBIqJPtvCUlOP8jc5THJRXmdC05IN/4/AHcs/pOZftju5/N6Jy0FfKs/PSoi+kiGA8DUrAt\n/3YXXD4XN3xhFRacUaYE6QsLUquwemxu5LtyUOJRzzPXqn4ncmvDzs79SAgc/nbgX+gJ9SPflaso\npI+HWJRDSxNZxNTOUhc6f39yJwDglpU3Gl6T4MfWgpAr6OuqVum2Hx44mtY5nUhY7T6UzLgIdWd8\nwXRhN10hn8bpBoem2pSKjq4Fa3KNa4N6LYXcYiP95onY+JY/mUBWhT8ZAbm8bLGw4wdqfCyGwKH0\ng99YH6mI2gvN27f6pOT36oXGgL1AkzC3mMz38pwxOBrFYy81pH1OAEBbWF2FPBPKemI0AIvHjarP\nfFo93hg95LTFYqBaWzxkfZQIBODyEt2ToprzAFCARFlPuEJYdWUx8muOwGkj64VEgtEF5ADgy00d\nsLp8xmq+WWvleKCkOCLxTj+sQz4gwEHoIYUlQUwgWRg+Gb4qso7pfPef2L/5x9j3+j0Y2bcfh358\nPyzrJbq2lHSp/vznMj6/UwlygN164K84tPUhhW3o8lXo7MxOFnKKlqBm0Sfhya6G26+2AXKcuaaR\nGVo6yZqmINtcf0PG1I10JCRiowgJIhAnN4icWUwV5FGSmFhscAhUPIbYGBQuQK0CM8zkKm2eSsjy\n2NDVH8I9f/gAsUTqwYmunal7fKh1CJ++e6PBf5FhAVGkdMJtAFT7FE2FnGXthsB9KmEyK+TDkRF8\n/oU7lMAyMkJ+K21f91iQlUi1oAQaFAUUFHnh8tiUoJ0WyP1U4i5CewsZQJ0uvUhiuirr6YCSlGwT\ncR6bNx1BT9cocnJduOqTeqVwj1d9T5/Uw+5IsiTUWsCNDkSxsJBM0HZLeir2ynHcJ24xGIyHFRaC\nrH7PWhhU1RK6Hi0tuGr8lYbXLiycjZuWfhyMxOwp8akB+YbcVXBZycJtOBqAIAh4fI+aiOAEDi5r\n+omUYy2DEAURq8+t1fW5H5aE/cqzSnBmmf43GjKxZZOx5dhOPLztcQCkwq9Fd7DX7CUfOgqr1sOT\nXW3qCDEdkE/jdIO2AmixjR+Qm4mo2TU0YpdPFYpUAvL4ZAfkUuB6AntJU0EW2BwvIO9/9z1sufo6\ntD1BqqFUGgF8z6uvkWNnGYXERFFEc+cIinNdivuNFnYNw820Qp4UpAsZ9JKTc1fXuOkGSYmRESSG\nhmDNyYFTQ0FP5XCUCkqFPBiE21+F+Wu+jaLq8yBCNaYRvBFcvnADltWq/b4UJYJh9WtWb57eKUiL\nvLIzUbfsC7pt4oTEhAUIIwnwe0dR9ckbAADxl8mcKIY4xAbHnssKVp4DAGBmks8tMjz23/09oEhd\nu8RfJLow1qzx2xFPZbj9NXB4ipW1sIyTcW+Ph8Kq9ag74wugaAvikUEEBpvGfU00zoGKkVZnt3vs\nvvMpHZCLAg8hEUaIUz8mJ92bckBuy4P9qH0AACAASURBVMtD2cevxtzvfw8AMC9I+j4avn8PqFgU\ncSkgt6awZuKmuKgbAMU6Y8v+btQfNVJ6ii67FGXXXgOBNU9ebGvo0T1mWYoE5FKaMB4ZwlD3HqVC\nziZVyLXU9uTg/nSHWiEfm8qSDrqSAhaLnYbbY8PcxRPvt6EFBiJHKSrtshK7XCHv3cuh8SB5X1lo\n7IpPLMba8+vSsjNLF5d/fJFhW0GxF84ku0GaoZWAm2FofPnOc/GlO9br9tFawPG8gEvqNgAAslKo\nB6cCCb6oCauwjoVgPKQE5Mnq94CaABRMLGyumH0Rzq9Ve5+0fuF+ixe/uPhuAMCmpnfwux0qdU6m\nlzsyUPRvlarjlTWE4q5NkMRjZCHzmSXXYEnxfCwuIiyC4Yg5fbVjtBs/fe+3yuO5+XW65/elIQj3\nYcKXPwdOTwnyy9Ve/emAfBqnI2Yu/yIq5l6d1vWb7H0M6FWPczSCpDRjAcPaERg4gkQ8CFHg0dm0\nEfFI+pobXDykVMRlnMwKubwcGW9+6/rnS7rHZj3hWkR7exUBNItJkDUwEkUwkkBl8fjzlNkyKblo\nlMigl5yiKNCMdh5KrwDVcM+PABCBOotP/Uy0JT0GlgxWqpBzAULdttp9hJ0pUoqo27pLib2Xv1Bd\nK9CMANaiD8hlz3EzUBQNj79axwDINCAXBR4iKwAhDvPuuRv+pUsw74d3o2j9hbBEPaBcLCgpsJ61\n7BbTY1idRnYf5bfCfn45AAqzVnwZ1dffiAX/e29G53YqgqIopSecohgUVq3HrBVfPslnZQ6KojAY\nz8UrDWStdHj7r8Ydy44c2Y8lpSRJNJZGBzDFA3I52Ikm1IFT0oQCpQmgy6+9BlkL5usyhnwoBCoR\nR4y2YlaFHy7NIl7bGy2LuplRhKYKtL1JZlnV6ptuRPnHrwafwt/y1Q9adY9ZCw1RUCvk9e/9BEf3\n/gmhYbIfo+sht+sCHoGfWl7k3CRS1uXecYBUthNRATn57owEWJLBJmyASCmiapakCnn9NlW92ykF\n5POXlGLtBTMxmbA7LJgxW7/4qqzNQX6RF5dcNR83f10NQHMLyHcpikBWthOOpKDdrnkcDsVhkRYa\n3ASoaYvP/QHmrv5Gxq8bD6OxIGjJptG0lUBKKG57t9kg7FaepU/AuDQiTFbaolTIAWDT0c0AgKXF\n83GN5CvvtRmvxb8/uROvvnDAkBBraRoATVMoqySLnDkLi3HmOWRxfkxiTnjtHnzz7P/C11YTat1Q\nin7SkaTKudekWtcdODWq5ABRWZ296iu6dgWGzYxlMY1pnApwZ1Uit8SodG0Gh6cI5XOuwtyz/hsV\nc69GYdU58GTXYsaSm7Bw3fcM842s3L73zbsw0LUTXU2vGjzMx8Lh7b9G/bv3KRa2gKZC7vzwq2jy\nGogZp5XO0JIXHVsLR+uzrQ1eZbR0kfGxqnj8imgwYlQjZ5PONzEG29EMlKbgku6aIjZA9EAqPnm9\n7jUZB+RuMhckRvWq4yIoRdRtw0xi48VIbaaMxQmaMgY56VT3S2ovUP7P1G43EQ8AFCBGRPjmkZYy\n39y5qL7pM8iZeYayn9NZCpe/3PQYFEUhyzMPblsl7P2EfWI5MweCNYackmVw+cpQdMlF8MysM339\n6Qa5j5yiaJTMuEjHsjnVsGlrGxp6NMKCY7TjiAKPeMcTmi1j3zdTN4qEdGMAiMRNbn6TwbTfpN85\nRlvw0XW1cGlorrG4OpAdbCUDjhlFaKpAVloHgHDUONADQFv3KL77G3N7iMNtQ7qFvNXGQBDVgVQO\nsuXeEW2WnqatUq8QQTKt5XTHZFHWo1wM77ZuUx47gmTSzisYn4JoBreX/Ob+PtJTVVZJMrbaCrlf\nzlKDUNrNKO+TifykyoBboqcvXVWJgiL1uSuuW4zqujycc5E5Nc3tVgPyfTvaFb91bgLUNJqxmlaM\njhdtwx0GyroWrNR6wyUE/FfNzVhTsQJLiuZhWclCnbo+ADg1CS4rbTFdTK0oXYylxfNx66rP4GNz\nLtI9Fw7GsG9HB95/swmdx9Rg+sCeTnS0DqGoLAtWm5qwrJCq5ft2tuuU8K2MBTbGin09B/FM/Yt4\ncu8/0Bvsx2g0gDgXR5TTq+Zrz1Ou3ncHJ1eteTKg/f1lm6dpTGMqI690BezOXOSWLEPJjIsBAN7c\nmaZML1HTmtZa/xcAqpKyGURRUNYLoigiEiTVpZG+BmVbYKgJrNWjS95/WOAkmiU9XptiUvJS5DhT\n2y4ACDY2ofOfLyqPrSaUdTkgryhMXSF/4Ctrcc7SUqw2ETc1VMhNLETHgjaI3nfHtzG8d9+4r+FD\nIbiqqmDx6tchfCyzwor8+tY/Po7gUa0Fplohl+cL2T6LOY6xuKByHRas+x9YbN6UFfJUgbosYMgI\nxnVBbvlK5f+iuvMMz2tRs+pTmLn2iyhaS+ZjutgOmraixERM9HSHbENHnwYJ7ViCx1DEjpYhsibm\nE6l7yYPDLbrHrHVsynrm8oGnEThJmTAeM/armPWQt/cag70YbYXDyuoC8micQzzB4/cv1CsiGww9\ndXvI3ZrPHpJUrqMxDk+8chAfObsGeX4HHn9ZFQmxWRld0mJwNIaewTAKc8hkbbWxEDUBuQzZBk1b\nZaJoFgxrR0HlWvS0vIVEPKSzvTjdwUlK16zl+Cjrv9jyB2zr2KM8LuokwejsheOrjptBpuN5hwsB\nSsSSFaT/S/Yqv2HeVSiu8uHpt/ehZmYerrtpRcpjTRZy8/RJC22/uBb+HBeuv3ml6XMA4HTbcP3N\nK/Hs4ztw9HA/KtokOtwEKuQnCk1DrbBJKvlm6vc5eW5YbQziMR759lx8acGnUx5L1NxndIrqgNfm\nAUVRWF2+jFgKheKKpU+vxsN+dDiMkvIsNOztxDOPEceJ7Bz9JFNeRarle7e3Y/+uDnzh9nXIkX67\nmNSW8pf9hJr5j4ZXlNddt+CjhvN66JLvw8ZasaNzP3617fFTwvosGVrv5uNho0xjGlMRNGMFnzAq\njIsCr/ODjkdH0LjrD4gEOpBTvAyV867GYJfqajPctx+JeADh0XaIAmfq0fxhgFd0g8arkBsZg3w0\naqgO89Eo9nxNz7Ky5hpdLkYkYd28McRSa8uy8NXrlpo+l1zRj2cckKvr6NEDDaj/zvew+rnUQqgi\nz4OPRMC41PnBO2c2Rg80wJab2RpOtj0DgN5Nr8H9uZsAAIydAuIimmd9AOAyAIAgiYbSJoLMZvoH\nZqAoGharGxTNmgbe4dF2HNz6SxTXnI/CqnN0z0X6ieuI1WFMqtgc2Vh6/n2Ga38suPyqgF/xjAvT\n0nk43VBYuQ6h4TaUzrzsZJ/KuJBjm5bhQlT6hxAN98EH8+JPOKA60NQs+jQCsX9jUTc5UybGjVkX\n04C8xzjAx2gL7DYGdk2V6tk3GvHq1jadJ7nDNnVzG9r++LBEhXrkhXr8460m/N+zJAj0agS9brho\nNq7ZoKfSaMXg7A47CcgpffZcHvj29DYq2+RBi7VIQdMUq5DzXAwUzaY9OKeCNhiHSMEx6kdxeZYi\nApYptFVZqw9wSW0LciXUb/GDDZAkQlFZliK6diIxe0GRzuc8K3vsbONYqK7Lw7mXEDG3eJgsnCZS\nIT8RiHFxtI92odhCxNhcJgI+NE3hvMuI6Bk3zsKq2oQWl6yirqWpv73xMO7/7iv4zU/ewshQWBeQ\nh0Pk/t/+ntqGMtCnvydtdouyWBV4EYP96dnJbW0nfq9rKlbgZxd/DwCQ786Fz+5FtrS4ORUD8vH6\nwqYxjX9npLKE5BL6caG/4wNEpAXsYDfxgO5s3Kg8P9xbj44jL2GoZ+8JOtPxwQm8okU7rnOJaByX\nBRPaet/b7+geV9zwCdjzjb3xx6T1qdM+sbUma6iQZ5aAptO0eZMxtJP8hqwmIJ/z3Tux8IH7dR7j\n6UAWdQMAxqUWL7KcPtCMiNsv/6SyTV73awNyWVm9bNblGb0vTVsUO14tju59AqLAoePIS4olmYxA\nFxH6smcVGl4nI5P1ntXhh9WRDbu7UKdXMpVgsXkxa8WXPlRLs4kiGifrxIEYKTy0H3oenU2voq3h\n74Z9QyPHAACvtKxCVv7ccRP2UzeKhFpxBWdcMOn8syW09waRnJeM0RY4bKzSKw4AL7yjt9+57Ozq\nKV0Z0XqshyTK+iGJqi9Ty7RVdJedxcp5RXh6k2r3oQ0aHE47RgVKer26XZQG0jdat+JKNwm8KIr8\nTjI1jeemlie5wMdNM7mZgqVZJaCUvcOPxwdcKyTGOrTqquTv80/vUQLaopLMxNAmfE42Frd+ewOi\nkQSGBsJKBXeisEne5nyCXMP8KVIhbxk+BlEUkcPkYxiAN8v8d2SkMYwfJyCvzanEQ5f+AHnObOzc\nSezIqrLKcEhjI6YNyN/aSO7b7s5RvPbiQV0Pu0xBbz6iUsdlSzotvvCNdXjp2X04ergPCQ1b5ksr\nPo2HPnjU9DzlHvIlxfN0QnQAkC35xe/s3IePzbnolBpv5TFqGtOYhhEFlWuRW7Ic3S1voaflDWV7\nIhbA/s0/hsDHkVe6Cn3tassbRTHY+9b3Fbs0mrEZ9GNOhvATxydASXaUqSjrYjxOglETNhIfMa5f\nol3dusd556w17COKInZI4qkTLf4kJxAypqxbrchkhmz4wb3K65RzcDjgrq7K6H0BgHW7TP9nGBY0\nKMzRCICKvExZV9/XlVWBmsU3ZjxvsFYXoqFeQ0VbG4R3t7yBsplEf0Xg4xiKkISRs9C8PzxTUBSN\n+WffMSnHmsbxQRRFHG4jRYEIn0XucVFAVxNJHBZUrIHNqUaRgaFjiCQY0DajnZ4ZpniFXApQeJOF\nu0mFvGvAWMmJ0VbYrSzOWZr6C7Wb9HhOVYQlyvqotAj3e0iwIGj6pVwOq+E74TX0LZfbAVHq29UK\nn8jBdkLD9Nrcth3bOvaAlgZD8RQJmiYCM+qTwMd1E8dEUeZTqemsFJAfT8Cq7QnW6iNog6vuDtIr\nVVgy+SrjY8HusKCo9PitPmShOj4uV8hPjWvr6GAbAMDDk8/o8ZnT7OTfhTdRyxUEUReo57tydIuR\nK+eqfeIbqs9Crotke2VldBk2O4vhQbVHKhyKo6td7SN3uq247GqjAn52rgtzFxFxOa14UEWW0T9X\nxqDUe2c3UXrOdpJrrHGwBZ9/4Q50nULiblaHH8W1F2Lm8i+d7FOZxjROOVAUDdbqQizcp9s+0LVT\nqT5qg3Fv7iwIfEwJxstmXYHsQv0YU3fGF06K8BMn8ERzhBJTBneJvz2HA3f9AMEjR5RtsuUZHzH2\nm8YH9SrNZv3j2uDZMWkV8swCciqFEFusrx/xYb1Qp1YzKFmIbSKgNZZxrEtNHhOBNlH3foLAARSd\n1ErETCiJS8R2RaW1UIYocHB6S0HRLIKDamI7rhEslb3EpzF18MaOdvQPk3u4eyAMX9483fNHdv5O\n+T8RGwUXG0DniAcLZ6QnPjmlA3JeypSJifF7yHlewO7DfThm11OFZMr6+SsqcO4y8wnANsUDcm0w\nLVfI5YDcIwV9WvV1QRQN34lWmd7h80AQZNsmtbrGJUhAHtcMrq80vYP7Nv8KO7tkQZdTg1acKQY6\nd2DXpjswOnBYt53nY5MiBBXnE/Da3PjBubdjfekaADCoi6eD/EJCDcsrVCliWr/VRSvUrG/nsWHY\nHRZkZX/4wjqTAdmffP+WbkA8sZR1QRDwryNvGpTEzdA0ROjglgQJTFNWyFlyD5lR1v/8+634xQ9f\nMwTYMmQLMgD43LJPKL3lo8P6BSPHCTh6WF1IjwxFMKRJXH79rgtQNcO8LUJue6jf3Yn6XYSKWpFV\nil9ccjdm5xGLGvkvoDIUPDajnoJWKX4oMoKXD79h2OdkgaIoFFWfe1rQ7aYxjZOFXMkOrbCK2FD2\ntr5t2KdkxsVwebXFDwr55WcaxOKcnolpoxwvOIEj7hdsavtV4fARwzaLl7DIuJCx6BMf0gTkNG3K\n3oxoxnHbBO1Ek3vIhQwtZM2U0Yd27sL2m27Gtk99RredG1XnucTw5LQZ+c8gvfEir34XkUAnACAW\n7sNI/0EAhLJO0xadmvpEWwIt0nWnbZUURRGiyINmrLA5cxEN90vbREVIWowKcBVOzwdTDX3DamIm\nGEmgNb4K2UVLlG2iwCus35EB0rrQG8nF+SvSuxamdEAekDKsYsJ4MyYPenskCuYzRXqBhhhtgdNO\nlInryo3egIC55+NUgjYgf3NHOx54aqeSXZVbh7UB+YyyLNitLD57+TzMrSb0DW1A7irIRjhCgox4\nZFB9H04OyDXvLb9v6wfS+5waVcxM0XHkZQDAQOdO3fbJoqzH+QSsjBV1udU4s5AsfCYSkN/w+VW4\n6pNLMWue2v+kDcgtFgZzJKG4oYEwCku8pxR9OBMUlpAKdCSUgL+vFN3BPvzygz8iGE+v53ksDEdH\n8f03H8T+noNoGmzFo7v+it/vfBoPvv97ZZ8/7fk7vvLS9zAa0/dgNw+2wc7akAiJoGgKbk+qgNyc\nsi6KIhobejE6EkXHsWFTq0IAOLtiOZYU6TO8I8PkHpSr23u2HdM937C3SxFz03qOm0EOyBsbevHs\nn3bihb/swW8feBv5zlzctf6r+NNVP8dd67+K319xv+51bqsLW95qwusvqUKRFEWhxKNek5uObgbH\nn57JuWlM498RvrzZWLzhXhRUrNFtr11yk/J/QeVanQVoUfUGAIA3p055vPT8+06KujpAKuRswgba\nnll12eKTA3J1QR8fHsHAlg8Q7exUtjmKzPuOoxIzbf0ZZROeb+kknZdUNrUpX28SkB+46wem+0a7\ne5T/c1ebawhkinyJyi9qet/lNWP9u/ehcecjCAw2QRQ40DSraxmYaFuRfC0mNGsCUTKijxzrACs4\nIPAxcPEgets24/C2hwEAli7HabsumkZqRCSG8O3Xk7XPq9u68dNXChHMuQUUbUE8OoTD234FADh4\nlNzX+XmF4+tNSJjSAXkwSrJVgmD8mMkVcjlgjDE2NDvU7KvD7VQykhuWlaM032hPFTLxfJxK4JP8\nNF/ffkzznNR/K2UlHrhtLfL9pJr1kTU1WDKTMA66B9SJyJ2fjVCYTKhRDY2N50h1rmqP2kMlxxLy\n3HE6Utb727ciESNUJq1CpsAnIAoc2ElYXJCAnEyYcp+v05W52JTLY8OchcU6UTeHVV/B92pUXuWg\n9nSEdpAsaVmAo90deKtlCx7bnVo5Nl08uuuv2NdzEHe/+SDuePVH+FfjmwCA5mFy7wiCgOcPbkRn\noAfHRtQFWZSLoT3QjSp/OQIjUXg8NsNCKvn8hwf1dLpIWB2PHn/4ffzmp2+Zvv6WlTfim2u+qNsW\nkKwfc5LGucXLyxX2hIzccSz1klXwd33Qhq72ETTsIzZG8vXqsjjBauiFPpsHG58/gM2vNWJIM278\n5KLv4Kn/eAgAqVRpe+CnMY1pnPqgaRaMRS/G6cudiaz8uXBlVRo8ouV+TE92Dead9U0U1Zz/oZ2r\nGWJcAixnBTOWPItJ4Cr7inNBNfna8P17cPDe/0WsT9XjsBebV/6jUoV8MsWDBYFUde98+F1FnHcs\npKKsy3jvY9con0UOyAsvuhClV115/CcLtYg21hpwuK8eAp8AzejtPceqkHPhcEqPeFlMuL/jA2Wb\nbIMW7xvE8DtEuC4a7kP7oeeVfdylMzCNqQeZqVJR6IXPbUX90QG0dI3i/id3YWPTYgBAcLgZP/vz\nDuw9TFiBy+elz5SY0gF5RMpqyfRoHWgaAyMRXPa153DZ157Dlv1dylNxjWquz68uOq0WBjdeOtdw\nKLmveqpCGCOTKgfkchUumU7VISkw/+Ivu5VtjiwvwiEyo7X3HlCPJWU7eU49hqe/GO6RXLgkGquc\nnTxdEI8Oo/XAX5XHWr9xuS8peYEyoffh47CKNvzoWy/hxWeJP+hEKuQyrJqA3G3Xn582IC86jQNy\nALj12+cq/xceI9YV/aHBVLunjT3dB0y3yxTtvrDqw7ujYy+GIiRh0zLUDlEUUZVVjtGRKDxjWNzI\nlPXt77Xi6d9vxbGWQQi8gBef0asQ93aRxGRzYz8O7BhB69EBPPfULlM6u1wh11rMXfyx+bj06gW4\n/NrFyra8AjfyTJKTWhSV+lBcbuyHDAWNfuNOi135n+bVReeRAz3Y8vZRdLQNgaZoMDSDa+YRa5RI\nYmoJPE4jM4iiiPrewwjHU/vATuPUgzZQkiuQNYs+jVnLvyg9ry5Ls4vUMcfmzDnpVcdYnIxd9Fhx\nsc3YgiYH5LxEWY/19SHY2ARXTTVm3HoLLH7CvnTX1poeMigVfY43IP/l7eco9FlBECEIIvY29uPl\n91oQT4y9tqKtYwfkIseh/733AADRXqLxkb1sqSkFfyKQjzNarzKncor1LK3e1neQiAdItTKitgIk\nJ3q0+ODaG7Dzi7eaPiev14a6d+Pw9l9D4ONqQkAAxBHyu8iVcRl5S1en+ammcTohokmMzanSS4C/\ne9iKrhARo93XcEhZ3+dmp6+xNKUD8qhk2C6KNAqKCGUo2yYPqAxe2aJa97y6tU35P64ZbbNy9ArS\nVov6lZ25gGQzZ1WYU9mnCvgUlFcAaGgmgYUckCf7sZuxByxuF6JB8h1zvWrwwEu/F8erA3hBVy0q\nDy2Ho5tQucRTxJoqXSRbYkCzoJA/L5umN2YqiKKIOBeHLeJGPMYrFGbHcYi6ab2v2aQJ1afpaT6d\nK+QA4PM7MX8JERrjWTI2xExsTjJBZ6AHobjRdxcAArEgOJ7TiZL98/Br+Nn7RAykXwrUc9lcCLw4\nplK+RWNDc6i+B3/4xbvY/l4rGvZ2GfYVBBGPP/w+mg+F8Mdfvoc929vRelS9d7dubkZwNIrRIXJN\n5hV54PHZUVmbg6WrKkBRlE5t/fO3rxvX6o6iKNx069mGHvNgwBhIn1W+DAAwJ28GBvpUeuC//rEf\nG5+rxyMPbka/ZPvjlvr6Ykmqy9P490LTYCvueuMB3Pv2Qyf7VKaRIWQ/6GSxNoD0mhdWrcf8s781\nZiB1MhBPSB7XbAqFdZ4HTPrE2aQe8sHtpHWt4NxzkL9+HRb8+B6UXnUlSj92helx5cJGUa5RXyMT\nlBd6UZhDEuz3PbFdJ2S8r6k/1csAEB9yMcqD4lIH2BbJniwxQtpF5UTEZEAWxht4f4uyzeUzKpmL\nAgeaYXUe0GYV8vjgELo3biL/95t/dq12QWCwEUPde1VxXl6EMGzOjvUUVI/zaaZxuuHdPZ14Ywex\nunbaWcwoMwbazX3kOltW1oXVVR0QRBp2l9HCMBWmtO1ZTKqgCAKFpWdWwGJlQL/9PEYB0DYbrBbz\nBZ22Qp6bqw/ILax6Y3/1uqW4fM0wZldmT/7Jn0JYs7hEZ2GmRWP7CFq6RpU++uQMNmNiDUIxDOJh\ns4lWBM9TuhYDnif/WzvzgfLO066HnEvqR9bSrWRBu+PtIW8eOgZeFOC3+qHtRnY6J+6PrA2+ku1d\ntBVyf87xV/dPNhYuK8O+nR3gGTLRiqKIn2/5A46NdOKHG74BC5PZ93i4PzWV+lB/E7616ccIJgXs\nDX2NAAhlHQCoiGRdN0aF3Gci9tbcqC4sWJZWBN86jxmFdYKj5L0a9nTiX3/fj3dfawRroWGzs8jJ\nc+GWb60HQ9PKPZ2T58a5l8xGeVV2RpWq9RfPwiMPblYeB0aMAfn1iz4Gr92DMr4KLzy92/A8ABxp\n6EVugQc2ltwvMS6OzkAPWIoBJ3DY3LYNl8+6QHl+GlMb7aMk8XRo4CiODDRjRk7mdkrTODmoWfxp\nNO99EtmFiw3PUTSDkhkXmbzq5COekD2uUyisBwKmokLWLImyLgXkw7vIGCcLldkLClBxwydSvq/s\nQV4+TptQOqClsXskGMfPNWPt0Y4RLJ1VkOploC0WxH7fity1ZyMCo3AdAPBRMqfI1HzWMzaLKhMI\nCWPwKyZ914VV69Hd/DpoWj9nJ/eQc+Ewtt14k25btLsblqwsMHZ1XmWT2IvRcC8cXqKvIvKiUiFP\nxqmWSJrG8SES4/Cjx7Ypj10OC/L8xrXvu82lWFXRiWXlxMqQt1YbrqGxMKWvGp4ji95EgoXbY8PC\nM8pgkWjRtNWKkaA+IF85rxD/+ZF5iFNqnqKwWF/91lpH2CwM5lSdfBrViUZ5oRfP3fcRfPc/V5g+\n3z8cURQ7xxIO0YpL0TCvusc5CwAKr7+1HG825SESlW3VZN/y06xCHteramutz2T6/UQUQAVRwFvN\nWxBNRJWFaSGrF4RJ1/YsGEkYJjatD3myIIU/h2SNbXYW7AQVX08lMJJ9GCVb8YkiNrduRetwO344\ngerbYMRcVXZVGVl8tQy3oz+sp8XXZBMaYZQjSRohQq73VArrAOn3T8ah/aqn7az5aj/iu68ZF1CB\nUTIWvvdmk/J4aCCMnDwXWJYByzKGKvjq9bUoq8osAVlS7sd3f3IZvvlDssg2C8hZmsHavLPx8qNH\n0NtNFp/nXDRTt09bM/nO7Cz53FEuhq+89D186cXv4K/1L+KZ+pfw1L7nMjq3aZy+qO9Vk8Q/fPsh\ndJ9CVnjTGBsefzUWrP02XFmT49X8YSEQIQG1WaEBUC3Mslcs12235kritlKgGuvrA223w16QOgDW\nok0KyEsnISDXnvuwZg1s5tahBW21ACLAB4Ip9zn6698CABIjpAWLdU9iQB4zK6Cp65bc0pUorjkf\neWWrkFu6UreXNkAOtbTig2tvMBxpx81fxP47v6tbC9ndBcgvPwu+3NkAgO7mN9Dw/gPkSV6ExeY1\nHIfqndrxwL8jepN0eiiKQp5JsSQUt4IX1Wutbv4lGb3PlA7IaUkkLBK1w+UmizhB7gGy2RQ/ORl3\nfGo5Prq2BnaPSlOZs0BPPWHTVMubaqBpKrW4FE0pwTadlJzQ9pRffvvzaO4kAzUN80p3TKqIR6J2\ntAbVgIMHGYwF/vQS0EumrGsraxK81gAAIABJREFU5EpAnqECaPtoF+556xf45dY/4tfbn0BPsA+e\noXw0vqa/np3u8e3U3tnVgWu//RK2HejRbWc03uPJ1QCny4obPr8K19y4LKPzPlUh+3lTstaE5uNq\nF/3pIsaZU94vmrHOsG1R4Rzdaw5I75cISgF5Cg9ygEwKd9ybupJ0/uVzkS1RHA/V9xieD4xE0d8T\nUHzFZe/542l1GAtWGwu7w4LRkShajw7oqvny+WixZKVeDEVONsg+5W3DKiWxZYhQyY4MNE/6eU/j\n1EMwHsJ7bduR68zGdQs+ilA8jHvefigtW8FpTGOieKHhNQCA32VOxU5IFmbuGfpecFsuadsZePd9\nHP3NI+CCQVgyqB4f6wkg22uH2zFx1psM7TpO60We4McOyGVRt1j/wJj7De/eg9H99bAXF4Fx/j97\n1xkYR3ltz5Ttq12tepcsybbkLsu94ILBBNPBECABE8oLLSEQSAgESAIpBEiAJNQACYHQY8A2GGMb\n994lN/Xe6/Y2835M36JmyZLsPb92p+3s7sw337n33HMHT0EnZN8BaR4vJ89+nwsESSEj/xrEpc5E\n/pwHxHWUTIVY8teXFce1FEptq2ylZbBXcM8Qe0UlKt54G6k5lyJr0g1B58M0uJBy2aXwFXWDaXRh\nyrxfI4Gai0lXPHaG3zSCkYY2PnmRnWrGU3dywR65wfdy2Vxlf4vUVSAmTt7CsXec0+xSzXjh8ZHw\n+ykxmyRE2QiVCiUBMk5xoJKZcugMygzV+UrIAYBAaELu8vglQh7w8/zoCqUJ3uurj8HnZ6AK8zN6\n/dJnmNtl0eNOFUCQcHTXhdhr5MLrVk4Q5Rl+gZz3N0P+4Fe/xbEmrudmSVsFmmytyCyZodhm8SXj\nQ+0ahGf/sx8AsOVgbdhtyMA/FcCYsXHIyg3df3q0QVAACBnyVkeHYr2/n2USbl52PitNWR+ZaIwP\n2vZXi+5HojEedq8DLfY27K/nPBXaa7hjpIYwRZNDXusvYNllE3DptZNhjNLgvkeXKsoKpi+wiAGI\nA7uqcJInuRRF4rKVUwAAJtPQtRSKMmvR0mjFv/6+E+++sgt11R2w81kad4DJnFzhIbj+t7faYdJw\nD8KDDUXi+m4+8NVs67kOMoJzA43WFngZH+akFeCq/OW4Ov8SNNla8OWpb4f71CI4R8GyLOq7uK4w\nCVGhVUKeDm5OqbZYMPaB+8XllF4aUxvWroPPagMd1bdst8PlRUuHc1Dk6gBAyZImciM3b28Zcp6Q\nO6o4vyXzlMnIvf9exMyaiawf3SpuV/zkb8F4PIhfuGBQ1aOW6VJ5g9fKJzpYWUAhIPmhi0qRzp2W\n5vQC4RZgnqxs/Vn+KpflP/zAQ2hYuw7Hf/tMyDZ7TKkNyZddCt+WVng+rYfKaEL6hddAbRrdvjoR\ncPAzLE5Xd8DvZ/D3T7guBFcvzhXLOsxGDd56/GJ89qfLcd9Kaa5H6LOgTb0GseNv7/dn9oldrlu3\nDjfffDMKCwsxadKkHrfdu3cv8vLyMH36dBQUFKCgoAA33nhjv09sMKCFHy4v31rHqIatvAJdRzkH\n6somO5raHchKDpacqGSkO5CA0/T5S8jD8HE43T6x7VlgFj3WrMPNl+SJ74vK2rBmezlUYbLtpCwB\nrvJISgU3qwXUUXA7e47OjjQEEXJFhpx7mJxJvZGKVKHJ1hK0vKfMqoCN+yQjQ406fFCACmNgc65A\nUANMieey1YFZtnAS9FBgWRbrSjYDAG6afCWeWvKguM6sCT2hMqr0sHsc2FTOOdQSDIGWajti4w2I\njuk9w2C2KP/rGfMyMWNelvg+TWY6aYlX49E/Xiq+37SOC+ysuG4KJhWk4qY7Z/c5mDMQqAOus3++\nuB1vvLAV3645AbesW0VqRrQ4mdNoaWTzxnBtLTZYdNyEp1P2P1l5r4YutzWo/CKCcw8O3hBTr+bu\nj2U5CwAAnc5IhjyCoYHb7wHBJwyoMPNAD58hV1uikbBksbicoGiF27jf6eyz4ZnQMjYl/swM3QSQ\nsjltt11Sc63eUoaWjvAdC0i1Ujk17qEHkLhsKfIf+yVSr7wCcz/5QLE+7oIFg3K+AjRxsUhewSnC\nfN0c+WZlhNznURJyeTCA4vvUMR6PwlgXABKXX4zxjzyEgpf/CgBw1NSClbX67Tp6DARBImnMUkTF\njEVc6lx4vmhA9LQCUFotMn94MzJu+v4gftMIRgK2H67DQy9uxV1/3ChK1gvGKZMq8RYdVPxYcMnc\nLIzPsOCmi/MwceJcZGXmBR2zN/TJ1M1sNuPmm2+G0+nEk08+2ftBaRoHDx7s98kMJlxuO7QEAatb\nA5omodbQqFn3tbh+J98L94KCVFQ2KB/iXUlj0FW2H7tjpyCwecH5nSEPDafbF1ayDgCWgFrX7Ufq\nkROmZRHhC/0pPkqDSms7stSU2GdyNCDQ1M1plRywB1JDHtgjO8EYh/KOaiQZ7VDZpAd2bELPD2+3\n14+/fnBIfG91hHcWP5P2aaMBQpAtQReH3JgslLZXKta32NsQb4gNsWcw5PtqaA3y4yWVR6DS4LqJ\nXH2RXq2Fx+/FN2VbAQA3pn8fR/d3IXtccEY9FFbdOx9lp5qx5mMuu64OaI0j7ylOq4iQWQujibtH\nc/P67gg6EEydmY66amWAo7vLhZ2bS0U39kuvnYxps9IBAI88fQlIksDJokacKm5Cd6cTOZp4EAQR\nlni/eeC/uHPGTUP6PSIYXjh9LpB+Ck3bCVRp2xCbphWXRxDBUMDldYkqqnCJGUGyLrQxk4M2mcT1\nAKBN6lv9+AvvH+jxM/uLwE44cvzo6W/w6i8vRGp8sJxecDkXj6NTBoJJWZ9yQ0429Gn9k+v2BYJb\nvbebm7PLnwEJGeEDAIJxrqupGWBZJCy7EBk3fR+szwdar0PcfE5mbBw7FraSEoWsPWo8F6AWjAa9\nXV2orXkPVBp3zMHqsx7ByEJzB0fCBTIepVfB3EMZ6L3XTT3jz+zTHT5//nxceumlSE9PP+MPPFto\ns9YDANxuDQxRGlS9+x6aNkhytl3H6qFWUZg1MSloX39sIl7JuhZHzeOC1tFhzDzOR1w4k7seXDJC\nHmqwt5iUsn81TSHTELotFBtif1IwQnNxlyvDjJ468sBz9XokQxRRst7HGnKWZbEmQJJp9zjQ5eqG\nCirojWrc/chiXLZyCtJ7cf5vbA0IFIToSS2gr+ZwoxWCZN3nY1DZGNwyrNkuqTK8fi9e2fsuStsq\nQx7ru4pd3AuGQNGuRjhsHmSa0zApfjxOHmvA0oyFmJY0Af9d+Tes5Am518/99la3DRflLITJypHi\n7PF9I+Rmiw7T52Tioacuxs9/uzxovVYrTZQEQ59ATi4Q8qGGrocayLZm7t6IMmlB890stDoV1Boa\nZt5ApavDCZIkYQqjNgCADWXbBvGMIxiJcHpdMHTHou20D//6x07R6O9QQ/Ewn1kE5yqcPjfi63MA\nSMamgRBM3dQxHCHPvOUH0KakQJeSHFQzLtSV9wSvj0EVb3JZ3xLcTm0g6ImQA8CP/7gx5HJ5hjzr\ntltBhei3LiB+4eBmxwUIbdWKn/gNHNXVAKRMdqCRGwCx5VTtR6vhamqCq5Er0dIlJ0ETGwNtojIA\n7W7mvFZatmwVl/mdyrmqny97JTXhDVcjGP0IbNlcmN+3ANqZYEjSvX6/H0uWLMGCBQvw4x//GCdP\nnhyKj+kRDXymyu3QQG9Qo+7T/ynW1zTZUJiXoJCnC3C5OaKk1wZPHs/rDHnAOD45h3ugON2+sG3P\ngOAMucvjw5KfXB/6MyhSIuAAYhx1SPJyLtAGO/ch7ChqfRZ4rkJWnHvdP8n60aYT4uus6DRQBImq\nLq6mnmJpqFQU4hOjgsywQqE+gJA7XOcvIRcyD0WH6pB3+EJEdXAD75IxXNS8RUbIj7eUYHPFTvzq\n2z+FPJZQ27/Yeym2rCvF8099g+Q9M6HbnIeP3tmP2NPj8KtF94MiKdRWdeDogVpclX8JYnUWJBrj\ncem4pSg/1QKSJJCV078afUOUptf/Srg/A53zzT20VxtMjJsUHAAV0M2buoUylRPavx3aUw2WYaHm\nFTIxOmWNvUljhIpSDUi2vq/uCD4/8U2/9xsO7K87iv8c+QzOMEqjcx1l7VXQuCRStO2bUoAFfIxP\nbB0YQQSDCafXBWNXHFRmBtNmhk5OeTo7AYIQiWPatVej8JWXQapUYnZXgDqm924VJTVSRv3Giwen\nlCicOW+v+6ml+bB5yuSQ20RPLwChUg26XF08B1kQ4ND9PwNT5gKl0mPMlB+EnHvmzb4f7n9Xo/F/\na3HgrnvQuoMLmOtSU4K2BYAxt/9I9mEkVBYLfLaA5EUN57dDGwanhCCCkQmrgyPkN1+Sh789vAT3\nr5zWyx5njkHvQ56Tk4PVq1dj7NixcDgceP3113HrrbdizZo1iI/vW8bnTPFp8TqcPP0VLjFoYbPr\noQszR507ORmJMXqMTY/GBQWSvMbHu03KXfQEnM+EPPC7C/INp8cXtu0ZAMQEZMhdHj90yUnAsVCf\nQkDntcKu4SLM2jgdvIwfcAHwmQFYFXVDIx1yAg5wBN1lbwGtNvbb1K26s1583erogJbWwM7XUhJ+\nUjS+6gsaWpWtS0JlyOMSjWhtsiE57dw2KdEEZG1jmjNgtTQhNyYLmyt2otnehvL2alh0ZnS5rGGO\nwikYWh0dGBuThdavJUIo9PsGgLJTXL0/y7B4++UdAID/+/kivHLF7wEADrsH9bWdyBgTA412cIZn\ngaTL5ehzF+dg27dcK7Q7f3bBWStLUKkoPPH85WD8DMpLWmHrdmPNJ0fAyNoj6vXBgVCTmRtD7DYP\nfvfwGpCT9YCuDRnmFEWNf25MFg42FOGGj+7Bc8sfR7o5BZsrdmJSYh4Seik7+PP2VwEAs9OmISlq\naKX7Z4pnt78CAKjoqMGvF/90mM/m7GNP9WEkNEkmT9u+LUFa7FTUjTkGl88tZswjiGCwYHc5QYCE\nysAGtYMU4O3oAAwGRb24gLE/uQ8H7rpbfC9k0XuC3HRtXEbv2/cFvWXIw4GkZUorbej7a8Ljj8Lv\n9oDWD02AN1Dm37p+G6Y9Fzo4DgAUrQVNGuAF10mkZfN3INXqICM3AfGLFsIycwacdXUw5uag6PEn\n0V18HN5uK6ynT8NZV4/Kt94BACRcuGRwvlQEIwqdVjc+3VyCb/ZUAQCuWJgdMjk7FBh0Qh4bG4vY\nWG7iYzQa8eCDD2L9+vXYunUrrr322l73LyoqQlNTcIue/uDD0i+xlGfhNpseBpXSCGzXpOWACyCc\nDTh8uBk3LzQC6MSBA1ytjpV3cLTZbOIyAW6vRAYD153rYBgWkzJ1KKriSGB9TTkAoKauEd0O7sFx\n5PBhqAJMwPyy/uM6NYluq6PH307td8IO7uHDUl4Q0ZlAPQs3qQNgxbGjRwBqZEQne70GnMroqsdt\nR/GOZwFCA+g5V+uqqmpUNYYm01afHXpKC4qgUNJaKi63eeyIoqXfwO9l4fW6+3xNHjmhdBLvCvGf\nTJtvgMetw8lTRTifQPm5YdHXzF3nWyp3Y0vlbgDAolip1du2vduhp6SJh8PvhI/xgWwOL2WLTaRx\n4MABOGxSAOTbrw4ga5wBWh2FploXwAJag3fQxheWZVEw34LEVN5d/cAB6GOkcay+qRT1ZzbkDhwU\nsOzqRHzzidQ/vbT8JKpqew58GlsS0JRRA61b+aAkZerCJ759DlclLcP7dWugJTX4aXZw71kBLr8U\nNPnJuicx1pCJJbGzYFEPXTBqf2cRSuxVuDppGbRU3wlknUvqt32s6ST2798/qG7GIw2B94GP8cHV\nwULt0SMtW4e8aSbs39IOtKXCrbXh4OGDMNB60P1sJxlBBD3hdEc1ABpevyfk2MyyLNytbSDi48KO\n3eTECWCKjwMAShobQB4Ir0wDgKMV0oA2WM+DyurQ5YJy7Nu3Pyi54q+RTGCLT50C0RBc3nW2Ye/q\n6vV38em0AN8XHQCQlYkjp071fvCDB+HV6wCWxd4frlKsIsfm4lRnB3AOcYBzlc8wDIuWbh8SzHSf\nnpOf7mjDsSrJ3PBE8dFBO5eWlmADZjkGnZCHQk8GPIGYNGkS0s7ADIJhGeRX0Zip5Qm5XY/MVCn7\no01OQl3cOKgbrVg0f2bIP2j1/p1AUwsMBgMKCwsV61iWxYyiPZicE4fCwtygfc91TC9kcdXDXwAA\n5s2ahjfWfwODMRos6QXQgsLC6aLroBxzixlYojQoKm9De5cLhYWFOPDNB0HbEeAIuYDYZAsIYwqa\n6+vAstx/NSFvHHSm8NLXs4UDBw4EXR+BOLrlK3jlCkqWr0th3cjISEP1iX0YMyYXMcnBcph6axP+\ntO4pLMqag3tn34pvtu4C+GTgfbNX4ZV97wIASB8N1k8g2mLq9XwE/G/fDgBSsMDHkH3e91zE2vcl\n9QFYILYxCypTatB2B6zHxdd7PMV4aP5d4hhyurUcqAASyQy0h/mchmoXjNpUmPQEAI5YlRXb4Hdr\nccvds3CEqcF+tGN8fjYKCjMG6+sBfFc8+TXr7j4Nj9uPwsL8wfucAWL3hg3o7nLBbNFhztzQ/e1N\n+jT89829AABdYyIWzJyDO+Zfj/qNz6O6qw5qSoW5eTOxfw8XQHL4XXi/bg0AwMW4e7y+jzaeAGTd\ncErsVaD1Kvxm7kOD9A2VWH1iPTaWckGeYqICdxXe3Od9605uAGRdCidNm3zOZoRDjbFNthZQh7mp\nS3ZuOubNH4/8PAde/v1GaFxGfNzyDdocHfjw+n+c04GKCM4uOou8KEELTCZjyLHE53Bgj88Hwhh6\nPQCU7TuARp6QFyxYCNrYc2Kh2loKoB0P3jQdhYWD4+HkUTcA2/f2uE3+pKlBPc9bXW4INHbq9Ol9\ndokfbJycNxdtOznpuYaiep23HKT/Dbl3fNrMGUjv41ynsa0DZXv3K5al37AS6d+/HkSIdrCjFX2Z\ny45W/HvdcXy8sQRXLMzG2AwLFk/vmV++un6D+PqCgtRB/V1qa8O3Fwb6WEPOMAw8Hg88Hs6JWf46\nELt370Z1dTVYloXD4cDLL7+M9vZ2LFy4sJ+nPjA021qxwiBNTnw+GiqZkRal1aKl04l4iy7sw1pw\nCg8VQyAIAk/eMQfXLDn/yDiglDsZ+AF734mmHiXrAPCrVbNw97VTkWDRw+b09ujqrfZLdZG6KK3o\nGs3whNxn7z3CO1LAMoERcFa2jq8hDzGwtzk68MC6pwBAzM6WtFUiyRiPj254BRdkzcbVqVcALKC3\n8QYy2X1zAgcQ1N5E7pR/PmLC1GTxdYIxFsnVE7Dz23JcmXK5Yjsb75qfEpWIvXWHUdctZXab7VwP\nbB1CtyoT7o0P39onEksBlaXcvh6+dCDQKX0ocMFF47DssuEn4wAwc8EYAEBMXPgJ6tj8RDzxvPR/\nrEj+HvQqHe6Z9UOoKRXunX0rsmP6H8Qoa6/C01teClo+VPXZ9dYmvH90tfh+e/U+fFK8lgsK9AEl\nbVzkIDcmCwDn/nw+oc3RCZJXsQhlHTq+zIH002hzcOqfJnukJ30EgweHk4usB7ZuFODle5ATPdQW\ny2ugeyPj63ZW4K0vOZPClB7Gxf4iJoSB57KZGfj4DysQx5cGyaXyAuSldaEk+WcLlsLp4mtXQyOq\n3n2vx+1Zn9KcK+HCpX3+LENWsB9P8uUrzikyfq7jy22ckveLbeV4/r0Dont6KLz5eZHYZjA/K2bQ\nfBv6ij5dVZ9//jmmTJmCO++8E36/H1OmTMHUqVNRX1+PL7/8EtOnSzfIyZMnsWrVKkyfPh0XXXQR\njh49irfffhuJiUPvUAcAlZ21oAKIts4lyXN9bg+6bB7E9WBiJOzORPrZ9giNihuU3R4/Gts4otJb\neVJGImd2Ut2orMVtbePMmVgAGlYi62q9Fheu4EiDkCH3e0bHBJRhfPB5wzuj+rzcjU/RwRLndwPa\nmzk8Ttg8diRHJaC91Y6vPjuGk5+6EV+fK5obxScGex6EQ3t38G/o8vQsnzuXcd0tM8TXUSrJwbts\ndWgDwZmpXIsLoR8yADh5KYRAFgJx+0/DG92kpHPZBo+H+7z++AGcC5i3OAcrrpuCFddN6XXb5VdO\nBCAFL7JjMvHutS9ibnohkgdQ+721co/4OjNaip5bAgzjBgvVnXWK9y6fGx8VrQkZFAiFkrYKRGtN\nYk28vAsAwzDw+kdPF4r+gmVZtDk6xLISoYOAEMAydSaKMc92R2fIY0QQwUDgcHHjuyZMsNTv5J8F\nPbiPu3iZtyahZz8llmXxyqeSVNYSNXiO3qkJwR0qKIqAVk1j2jhu/AxJyOmRQcgD+6HXrf6ix+0Z\njxfapCRMf+VlzFv9CTSxvZvpCTDmZCPxomXIf+yXiC6YhrgLFoqGfRGMfDS22eHyKK/lstrQzwWb\n04vPt3IG0gXj4vHs/QuRFuJeGUr0KQ1z9dVX4+qrrw65LiUlBZdfLmUtVq1ahVWrVg3KyQ0Epe1V\nSGUYmEgSHTZucmf02yBQvLbWbiAD6LKFz9AKmfMIHQ+NP9wzHwadSpEN77Z7QFNkrxLBdJ6Q1zbb\nIPeQpijupvH7SRgSjAA/p1QbdNDqVBif7RUJucc1OO0/hho1J1f3uN7j4oTNal3wA6LbLVN1EKSY\nfY03xOJvf9gkrstxTASR4IIVQEx836LoPj8TNEgBXJb8bJlXjEQUzM7AoT3VaAvTXuaCrNkieVNR\n3NDplSkghB7INYe4QMuNd8xSZMLjQphELvneeGz+6hScDi/8fgYb13JZUrXm/CLkBEmgcG7v3QEA\niXx53H6UnWoGTVPQG9U4eqAWC5aOxQNz70BpeyWuzl+O21c/3OvxDGopOJtjyUBVpyArG5ongN0z\ncIVPeXsV2p2dmJk6VcwAryvZjHFx2QCAZ7a+hJK2Svzrmr+cc3LtZlsr/rzjNVR11iLOyykqtDru\nWpA/iyi/Cn7ai6c2v4Dnlj+OjOjg0pMIIugvnLyqL5wBptAOC6rw0+rYuXPQvmcfMm78fo+f1dKp\nVLBFRw1eSUqgFF0OtYrL0blDzA/kJDywJ/nZhC5N6ZDeWz93xusBbTRAlxLaWb0nEBSF3Ps4I76Y\nWaFLqSIYuaio5/rVT8yOxYnKdjAMi398chTRRi3yxyjn3Rv3cR4J2alm/Pb/5p31cwWGqO3ZcGJ/\n3RF4WICkNCg+ngSNlobWK3OU5nv+2l3hswg/unwislPMuG8QGr2fi5iUE4cxKcr6IZfHH2TmFgom\nI/cwszu9sHml6BNFcfJtv5+CMUHKTGlNHImJGpciEnK3c3QQ8s4myQwtdewKGKKVhMPtaAdAQK0N\nzsS1OKQq5GitWcyCxdBKWXpsjAkJ4Orpe5L7yhHYX1FAT73Izwdcfv1UJCRHiZlXARqGk6DrVTrc\nPfOH+Nm8O0CTvPEb4wPLsjjcUIwOZxe0dqm1TWKyCY88fYn4XqUOnsQsXDYO8UlRcDq8KD4kZU7V\nIbaNgINAyJ0OD957fQ/+9Y+d2LmpFDs2lmLTuhOYl1GIW6ZdiyhN3xQjDl7yfe+sWzEhYZy43O0L\nH7Q9E9h4Qv5/M26GQdU/N+JneSf45KgE3DCJC4RTsraJx5pOweVzo8E6XC59Q4MGazPuW/trMVgi\ntCZMzZQ5T/M/A8FIv8e/Dn981s4xgnMbTjv33DQYQ2erGZ6QE+rwHSviFy/CjDdfQ8LSxT1+1qlK\npemqWjW0AVoheCd8jjukZJ0M+fpsw5idjawf3Sq+F0r/woHxeEGozt9Ew/mCzzaX4uONpxXLhDnt\nksJ0vPcbbi7WaXPjkb9tw+nqDry++hi+2lWJF94/gDc/L4JWTeHnNw9fLf2oJeQnW0rx3PbXFD1H\nGZZBs70NOooGSWnR1eFCVm4cGLckz6X5NlT3XRe+p1x6YhRefGgxctKGRrJ4LkEebaX7IGPS85Np\nh9uLdrcUofJ6ueUulwamWInsa6I50m6IMoiE3OsaHTXk8vZsSWMWgwhw/bV1VoBWG0GSSvLlZ/xo\nlclQfYxPzJAX/VvZY1erU6G91Q6DUQ1NH7Pb4YJRLvfo6e8+VHCH6Me+IHYuAK7n9ZLseZibXggV\nyf3WXr8Pmyt24vdb/4a1pzciplmqYVZraGh7yEZYYjmir9Or4HJ6sWMT56KfnGZGQlJEFhcOgnqg\nslS6R5r5EpjqinB2ekrsrjmI3333VxxuKBbLDsbHZWNG6hRMTeJKZDxDJP0W7uUxlnSYNNL/nGgI\n33eeYRg8uuGPYou3S8cuxaSE8dCrdDjeUgKGYRSqmrcPfTQk5z5cqOyskd6wgM5uRkKKESazFNCw\n5HDPB73NAkMXF7gUAmdHG0/gr7v+ib21h8/eSUdwTkF4NhgDCDnLsmjbvQdewcm7hww5QRDQxIe/\nzwXUNkslfQPtG94T8jKVLdQEMY1QhhhSsk6NDMk6AKReeQUKX+daP7K+0PMWT0cH7FXVYNxuqKMj\nc/lzEbXNVpTWdIJhWLy9phj/XncCDtn8ViDkOg0Fo16NiTKfpYde3Iovt5XjH58cweYDtRibHo0X\nH1osqniHA6MyDcMwDF7b/x7quhtR2VGDvHjOYK3bbQPD+KAFCxbcoBmXaARzSCIxFMtgfKYF0/NG\ndp/Z0YJrl47Fv9ZyrqF9yZALkminyweDrEb/yLHxyBlTg1OlmZi4IBoA90DS8pHNjNhkNDLc8Z32\n0VFDTqsN8PucUGm4rGkgIQcAnye4r3WbowN+lsHCzFmo6apHk60VzbY2kL7g29Xp8KCz3YG0zL73\nKG3iTSty06Nh1KqQnhSFL7eVw3ke15AL6AowuwOAQtN0zJyUhylJ+WBZFkf314JV8QaDjA8bSreJ\n2+rsXDDp+lUzRDL+0FMXi31rC+dmorPdgYnTUpA9jqsjFCSQLU02TCpIxTU/kDw5IgiGka+nPH1c\nygK3tXBktLXZptj2nlkfLQTiAAAgAElEQVS34B97/41oraRcYBgGL+x8AwDQ7ugCTdGgSRpmrQk6\nlRaPLfoJbv/fz89IWt4TKjtqQJEUMqLT4GelyWSTvRVv7H8ft0//PsiADFSnuxtl7Vxf1AxzKmL0\n3ARzVto0fFexC3/Z9Sb21B4St7d7gq/j0QiWZVHZUYMmm2TQRns1IFkKsXHKiZNeq0UHnMgo5e6f\n4hlfo6qzDh6fB3/e8RrcPjdK2yowKy18MD6CCMLB4+TuVZNBqWpp/Ho9yl99Q3zvp1Tw+hiQJIG9\nxQ2YNSEJFNW/3FeHTZqzmg3hM+4Dxe9+PA8rH10rvicDMuQeb3DWebhJeCC0iQnQJiWBCWMwvW/V\nHeJrXWr/5eoRjGwwDIu7/8SVbz78Aymr3drpREYSN/d6Y/UxAICOTwQ+cftsPPXGbpyoVAbux6SY\n8Oz9C0H38z4dbIxKQr6jej+6rU2YoVHBz0gTmjZHB24w6kCBhY/hopCxsXrYq6T+iSTLYnxG38lL\nBD1DKzOf6svFrOddce0uL7JlbqSE34WiE2MBAIYECwRCHhvFTTz9fkZ0Wfc6R0eG3Bg9Bm5HK3Kn\n3w5A6VLaE4Ta0ERjHBptLfAwXjTbW2Ful5zADUY13C4fmuq7wbJ9l6sDwBOvcy1DxqZF457rpuLT\nTSUAANd5LlkHAJIiwPi5QNGCZWOx/dsSdHd4sHTOJABATWU7Pv/gMFQ6ApjMEfKyDo4ogQU0LiMS\nU0zImyz7r2T1f6FMy8ZPTERFSSsIAli4bOwQfrtzA2ZLsMzbw6s7/D4GJ47WI38KNwFbPGYuNlfs\nxMnWMnh8HqhpNdqckhyUJAg02VqQakpCfXk32lsbMXN+FrIs6TjWdBJ2jwMGdWjX/IGi3dUFi9YM\nmqS4Y8vUMBvKtmF57qKguufydukZlmKSaiYXZMzEdxW7FGQcAOze0TFG9gSf34f/1q1FTVmjYvni\nhIVohKQwEZBiTkQdKsX3sY1ZaE0ux7qSzXDzSrqhCrJEcO7D4+LGGHOU8lnbXXxc8f5/B+xY49+F\nnDQzVm8pww++l4cblvXPrfmrnZXi69QQ3iNnCm1ASZSQStGoe5CsjzBCDnBGc6wzeN5iKy9XvKf0\ngzuGRzD86LJLQas//0fqod7a5UJGEheA9/Odg4TrWa9V4dn7F8Lr82PjvhrEW3TYdawBVy3KGXYy\nDoxCQu5n/PikeA1WGDTIVNHwO5oBcINdq60FGXyE79hhLmoWRXsgrzgmwCIjIgcdNPSXkAuRKofL\nh9i0KPgdnHu6inUC4Mh3VEIMAG4CKtQ2pWZEY6/Q9sxmCzruSATDcNIZWsU9wAki+PdJzws2SxSy\nQQmGOHR2OMD4WBxpPI4URmpRZbd5YDCqYefNCftq6CaHkBHX8v9JuNry8wkECAhmXlk5sdj+bQn2\nbC0Hy7JIy7DAy5vdeJ3cNh6/NBlQu/UgGQqJyaag4/aEabMyMKUwDSCIIZEnnmvQ6VWgVSR8IbI4\nAPC/9w+JhBwAUqOScKKlFE32VqSbU9DlklQpPsYPl88Nk8aI917nDPvG5ifAouOUDoNFyE+1lqGq\nsw47qvehzdGBsbGcKdmD8+7EB8e+wI5qqdftJ8Xr8OD8OxX7FzVzHYA1tAZ3zbgJ+3dW4lRRI2Ys\nCd2buNXRAZZlQRAEPD4PVJRq1Jm8fVj0JWpcSjJekDwRs/Wz8DkOIzpG+b+oAqTCSbV5AAgcSZQI\nk93rBMMyIEOMxRFE0BO8LgYUgGiTESzDgPX5QKrV8FmV85FOlRGNZa04XsEF2mqb+jdfYWXKwRXz\nx+D7Fw196yVBwdVjDflIJOQUBSaEZL27SBkkCXRmj2D0Y+eR+pDLn3x9F565ex4mjJHk6YV5SuM/\nFU3hkrlZIdcNJ0bdU2lb1V7o3e3I5B++DF/n12RrwRt73hK3a+/gJlRmrdIplwQLs3HwHCvPd2hk\nkVaa7nuG3OnyIS6Bm1CRJAlWtq8xMRazF46BSk0hiu+ZqdOroTZy/7V3lPQhF65NkuLkM6EIeVyq\n5NzZ6mjH09+9hNf3c301NQ4jEncXIqViEvwsA4tfqj0bOyERtMzoxRLTN0Iuz4ILUfKcVO5eefWz\no2JE8XzFdbdK0qf0LE5J4/X4sWNjKT58ex+amyQyF9WeqGh7pnFygb74AQT8SIqMkPE+giAI6HmZ\nf2CWNBSSorjSgI3lOwAAHr8kcWzls+VGSP/ZS89shO27aER1JCj+376i3tqET4vXiTXobp8Hv974\nHN488F+caOF8AlJNSThxtB4nd3bg/lm3KfbfXXtQ8f54cwnWneakeb9Z8jNQPhXWfXoMZadasOY/\nxUGfnxWdBq/fi5K2Clz/4d34wac/xX+OfNbv7zHc2FVzAFpSelZHtSdCt2U8Pv8vVwceSMhpVfD4\narBa0GRrhdppQFx9NjROA3ZWHwjaLoIIeoPPwz0bdXo1Sv/+KnatvBHeri5FgoAxRKFVzav6+Gep\noQcfkVDw+KRA451XThpUh/VwEDPk/D0k1JCX1Xbi612V3DYjkZDTNFh/MCF31CpbS5I9tKKLYPSh\npcOJV/93THx/8exMTBsrtRLctL8Gx0q5xNbSGeliInCkY9QR8rWnvsUSnXRzMXwN3v1rn4COzwC0\ntsfB7uAe1rTfHXSM6AghHzTIM+SqPhByFU1BRZNwuL1Q8YZGWmMSnBY+i0w5Qev1WH7VJDz6h0sV\nztQs/0DwOUZHfSTDT/xJiiMPoSTrAlkHgE+Lv8LRJq7tlbEzHhveqgQAWNq43shsqxZGkwa33D0X\nV99UoKgb1xv7FgGubOwWX996KZdxH88fx+7yoai0NeR+ZwKrw4PX/ncUu4saBv3Yg43xE5Nw/aoZ\nuPiKCVCpaSSnKbsJbP+2RHydUTod7e3SZIz2cv9BlHnwesZGEBrCZDcw+JGbnwCfl8FvH/oS9TWd\ncDo8KH7Xi5imTKw7vQken0ehahB6dmtsyuN4mikk1o5X9CjvK/5z5H/4sOhLvHXgA7Asi80VO4O2\nyejMw8f/OoAt609h/64qxAT0PLe5JV3Xy3veFl/rVTpF7bzd5la4io+LzcaEeK7s4fGNfxaXC8GI\n0QKr24ZmexuStfG4Z9Yt0FmjkVlaiO5OyT8kMBgTKiBMEiRa7R3IPjEXSbV5SC+djg5n15CffwTn\nFliWBeMmwIKFRkOj+duNAABXcwt8NulebRg/G74Ak1Z5xrsvEILmsyf2v/Z8oBA+Rx1g6vbAX7bg\n758cQUOrHcQIkPQGgqAosD6lZJ31+9G+Z69iGaWJZMjPJVTUc2M4RRJ454mLcf/10/C7H8/DCw9c\nAIoksHFfjViaOSalf4rF4cTIu8N6AMuyiHW1IZYiwfKnzrKMmIkQCHlbO1dzM2VGGvxOjrxRsnrl\nSIZ88CCvReprDYZeS8Ph8iE+fR5Sci9BbsEquME9AJge+i+zPHkVXPN7a3cx3PD7nCBIleiiHmjq\nJhB1AWoZOY9tUrZII/0UWDeFhCQTsnLjoNWpcOm1k8X1Pbl5y3HwZDMA4KGbpsPIZxkJgsBFszh3\ncKtz8Fs9rdtRgTXbK/DM23vxxdYyAMB3B2vx9Ft7RmTdet7kZMxZlAMAWHb5hJDbjJlmBgECza2c\n67VRbYCR5MYdjXZ0RGNHM4z8GB6XoCTS8TKH1Df/ug0VJa3wuhikVE0EwKlQ5BlyANA4jWjdHBxE\nIVgCa05vRIO1uV/nZvdwE/RNFTux5tRGvHXwQ8X6hwvvxcH1Eqk+vLcaD069FzfnXYdYPRcc+9Hq\nn8PH+6O0OaSady2tQUUJFzQTaumXpC8ATdJ455oX8PSyhxFnULZGBACH14nOUUREyzu4kqUkTRwS\nDLHQuIOVEIFeAnEham0NnXHQOqJA+7ixjvZooKX7//z/pHgtntnyMhh2ZD9zIhgaWN02ED4KhJoB\nZNcASdOKDHm1PVjl1F/NmYsvi+pvZn2gUNMkrl3CGSMHEnIBXXY30EcPnLMJkqbB+nyKoEf5m2/B\n29mp3E4dmfOfS2jr4njdT79fgFhZp42x6RYFAU9PNOLyhTln/fwGilFFyK1uG2ZrKfhBwBHFZQ0Z\nhsGhBq7fs5GXfLrdKsxeOAZX3VgAPy9vtjLSJNncx2xiBL1DI8uQa/rYK1OvVcHh8oEkaSRnXwi1\nNhrxek6ObdSEl6CyPLH1d3Sg/PV/YufVK+G1BruUjxT4vU7Qsj7DckIek1yAifN+rtheLo+lvTIV\nCOmD2sX9LnLzNsGdG+g7IRcii9PGKbsMjOONDn3+wZes17dKGYQ3Pi9CTZMVz793AHuKG1FeP7JJ\nQlaORG7kteFmE/d/FDeeBlgCUx1zsSjuAgCAto/t5yIYOC6+aiLypyRj/tIcsRe12aJDxpgYxXaf\n/FspTy5qPgUvo/RKiG6VDNTkfa1p/lb76bonce+ax/t8bi6vpMp698in4utEYzyeW/44jA4lYW6s\n68YHLx1Cyac+3DvrFtlxXCIpF6Ch1KgoaYXeoBbVGytSl+P9lS9Dz481CzJmBO0DAG1O5SR1JONI\nA1cDGuOLxeFNTTC1J4nr1BoKUSYtaFr5vBk3ITHkOBjfIE3IaL9a0Sq1N2yt3IPrP7wbHxWtwZHG\n4wpzvQjOH7Q42kH51KA1BBw1teJy1u9XEPKG7mAfln4myOESvF3UZ4cA/+HeBWKSSkMLNeTKwNPq\n78pGrGQdAHZedR1233QLGK8X3UXBZTxkJEN+TqGtm0vKxYZSI8q8Uh69dRaoUVQKOKoIebe1ESaS\nRKfKBIbmJh/tzg5s2/82ZmlUWGHg/hy7XYeUdL6Oh3fk7makwWS01BOMBsgfGn2N6Oq1NJzugEkx\nzf1f0VHhHUVZ3oOQUJNoWLsOAGArKe3X+Z5N+HxOULSMkMtaGZni8qDWKd3+u918cIEF1C6JePsp\nH9Ru7n1MnDJgce8vl+DaHxb22WW9ucMJtYoKCkoJ6gZfmJ6eZ4LWTmWJQXWjFERxhOj7PZJAEIQ4\nyU8fEwOKImEya2HQcf8rwZCIr89B10E1Du/leiVHMuRDjzG5cVh56wzo9Gpc98NCpI+JwZU3TkNa\nVs8dNN4+9DG+Kd0KADDzJTMsIc2Yx+ZLgapY2f3ZYm9Dt6tvwb/KzlpEa024IGu2YjlNUsiIToWD\nd4dVBzyHHHYPJiXmYUHmLACAy++GI8AVvLasC9YuF7Jy40TPgaMHJIJQdqoZtSdsSDZy34MiSFyV\nvxzA6HEYd3icWHN6IyivGrXbNCjd1wlTp0TIf/bERbj/saVB+5EUicJ5mUHLNQ7lM6WtUknIjzWd\nREVHDQLh9Lrwtz3vKJYJJUURnF9o6GyByquBzkTD1SgZDTJe5TzGQ9AwaJXT6tZOJ/afaBKJdm+w\n2jkFz1BnyH90+UQkxxqQJQs0iy7rAee642g9XDoTYufOxtif/WRIz6s/EAg5APjtdnTsP6ggZALU\nlkhnpXMJH244DQCIMQUT8rpm7jl91aKcYe0pPhCMKkLu9vL1Y6RKMsiy1WOJXoMleimj2G01iJkO\nod74aBQnydkQN3PUuc2OZGhlk0p9H4mIXqOC0+1XGIgtWj4e8YlGXHljQdj9hAw5VNL/F1g/NFLA\nsiz8XicoRYacDPka4CZ/9d2cjJX2akAxNDQ67vuSDCVmyC0BxDs23oiJ03rvsely++D1+dHS4UR8\ntE5xD1S//wE0W7iepN4hyJC3dDoVxjRvr5Ei2HuLG3GiQuoJWVTWimNlg1/Hfia4+IoJIEkC2ePi\n8Mgzl+C+R5dCr+EeBARLwdKaptg+UkN+dmG26HDbffORlRMHg1GD6BgdaBWJK7+v7Df9qwvuR7TG\nJBqrCXXblI+b+N7xwEIkyGrSKUY5IX45gJyFwomWErBg0enqxqppKxXrhGy30Blh5a2FIR35hYz2\n+pItuOPzRwBw2fW/fu8pbN3AnXvO+HixrMJhlyT4772+B5+9dxA/yF8Ji9aM5y75tegSb/WMju4U\njbYWAEBydT4Cqgtw4x2zoNGqgrLjAgLHQpIkoHUpJ2Vuu/TMYFkWv/vuRfzim9+jtK1SXM6wDA42\nSKZBWrsJUR0J+ODYFzjWdHIgXyuCUYivS77Di7v+iboG7pkUHatTzDl8drtiey8RPAfaf6IJv3lz\nN/76waGgdaHQyfcgH2ozt6sX5+L1Xy0TZeqATLLuY+DzK7Pku483Ie+XjyBh8aIhPa/+QJ+h7DLR\n/N0W+OwOqOPiFMtVFqVHRwSjCz4/g7/89yC+3VslmgwCQJw5uAXqfSunYWJ2LG44C90JBhujKpXj\n8XOEnCRpiVCEkJ+ZLdFixtDv4LICjZpY/DHnhyGjZxEMHPIackMfpboCcXe5fWIUOC3TgrsfWdLj\nfiTJZ3Vlbrqsf2TW9DF+NwAWNB1ask4ExML+uO0fYv9xDZ8dnzEvE5UlbaitaZdlyPvf3oxhWKz8\n1VpkJZtgdXiQE2BUVvPhx9zZ5N4Cn29wf0+WZdHa6URWsgmdVu5ebWqXMnVf7arEV7sq8eXzV4Jh\nWDz6D8586tolubh1xYQRETybNisDU2akK1zQVfzEhWRIqGX1rSo1BUPEo2JYcc8jS+ByemE0afH5\nB4fF5dOSJ+D5S36N/xz5DEW7mmDYOxYxGaR4v5midUhKNWP5VROxfnUxPHaGKwDl//aqztoQn6ZE\nWXuV+NqoUd6rPoabyNdWcTXh8YlRCkWKKZoL5Gh4L4nPT34jrsuLzcVnfy9GO1/+MW1mOkAA0TE6\nlJ1qhsvpRUebRA5ObbDhtf/7IwCINfAN1pZez38kwO13Ayxg7IqHVk8iISka1eVc0G5sfs8tapJS\nzHj82RV4+hEuwMjIgr4aEwF3Nwuvzw+WZbG9ah8yZf3eDzUUITc2C9+UbsHbhz7GRdkLYeiKRXL1\nBGj5Dgqnpm5CSVsFJifmDfbXjmAE4p29n4Ly07C4W5CAiYiPN4HxSc8vV2OTYnsvSaMg24Dtx4PV\nNA2t9qBlodDexc1zLVFnP7CrlrmsWx3KaNi+E0343rwxZ/2cekJgO7P23ZwJpy4tDUmXXoLGdV8j\ndu4caOLjQ+0ewSjB2h0V2LS/Bpv2S0qm/KwYRUJQwAUFabigIC1o+WjAqMqQe3jyTZI0Oqt54uBR\nDhoMQyjMXQRTNw+pipDxIYBcsp7YhxZEAKDTSr3I+wMVzWclZW66LDP4EuvBgJ+vB6fC1JDL5esA\nl1kDgDHR6aJcPS4+Cj4fA4IlYXZwEV9LTP97Ite3cpmxygbOYd0YRgpHsgxO13SEXDdQdNk88PoY\nxEUHRzLlYBgWrV2StP3TzaVolTkqDzcCW5IJjs6kX/lAMEWy48MOWkXByEvZomOU151ercPtBTci\nropzIo9vyIHWbkJMnAHGKA1IksDshdkYNyER1i4X7poi1XR3urqxsWx7j58drQ3v6Do3nWup195i\nh8GohilaB79MkdLd6cL7b+yBiggO6Fyctlgk4wlJUSBIAgRBYNL0NHjcfvz511/jjb9sk85VFvTK\ntnCGjYJR2kiH2+eB2q0H7VMjJl6DRcv7l+kgKRK33T8ft947DyrZ88li5kh1cWMJ7vz8Eby85208\nsel5cb1gDvvmgQ/gZ/xYf2orxpyaLZJxADC3paDbPTqUBhGcGViWRVr5VIw/shTmiiwAQHKiRZEh\nr3jjn4p9vAQNi5HCk3fMCTpeIMENh9oW7vpKGUDw/UwhZMjX767CLU+tBwCxX/NglZc5XF48+Nct\n2HwguEykv5DPo/IffxSGnGwAAKXVIPuuOzDvs4+Q98uHR0RgP4KBwe9n8MW28qDlP7tx+jCczdBi\nVBFyL0/IGS+FjmpucCACehDu2F2AmHiJkPt4Uzc3FTFaGgrIW51Nze1bFFLPR7Uc7mADlJ6g1XNk\nlFXLCPkQ1DwPBny+EIRc4VIqfQcXX4pBe9TIOT0XqZWce3p0rB5N9RyJpuw6JKeZFb3H+4rT1UqS\nLTfik7uT6vxufHeg9yxgX9Hc7sBDL24BAMT3Qsg7rK4gx/Uue9/Nl842BMnspVnLFMsDSwoiGF7c\ndAdXx63Tq8RrvbNDIqt+2gvarxaz0wIMvFy0IH6yYvlr+9+DwxO+7SLNl9VcNl55XdyXfTdyOqbg\nnb/vQHurXXQIz81TmiuWnmwGrNKz6rJxF+KGSZejvVy6N2ZfkC2+FiTagcZR8sy7WR0Fs9aEilFg\nSMayLA7WF0Fv4z1F4lRgmf6X0aRnxSAzOxY33DZTXGY2c88P0k+JpNrhdSKmKQOm9iTUW5sU/21U\nZ3A2Pqk2D7WnR485XgQDh9Vtg4m/BjS8Qi0x0QLWH56YekkaGhWJsenBEuluex8JeZMNBAGkhuga\nMNQIZcxrNqhBkQT8g6RG3He8CSU1nXjh/YNnfCxBsm6eOgUxM2dg4pOPIyo/D9HTC0AQxIg0ooug\nd5yu7sBPX/gOT7+1B8fKWtHc7kCUXnouPnXnHCSfg3Ot0UXI+Z7i1louEw4AYPhBzpQB0nQbuq1G\nxMZLf5SH7xHpJiOEfCggjzxmJPXNQEHPS9ud/Yy4Ggz88VUUWAA+ggbTw8NxOCFkyJWSddntJgvY\nOvlA0+TueWislLIvWq0K85ZIDsHRA8iOA8CpKiUhF6LgVe++h8M/fVBazvQvQNITvD4/Hnt1B5o7\nuN8hLTEKt18xKez2ZbVdYrsXAU++vgsb9lSF2WN4IWTemG6OgGl1KsQnRWHhhWOH87QiCEBcYhTy\npyTD6fCKPazlNddqN3d/BpYZCEZ+DlvwJPpka1nIz9pcvhOfn/gGeqsF1l0GOOwePHvxY7iv8DZ8\n90EVNq45KUqvE/ja8YuvnICb7lSav9Vulia+N0y+AtdOvFQMIkybmY6C2Rni+nCKme4uF9wuH975\n+w4884t1yGiYhDZnBzaV78Qj65/ButObQu433PiqZDO+Lv0OqRVTAABRZhXSx8QgPcuCq28O7y8S\nDtnjpCCxkQ+yzEqWZVZYIKVqEjJKp+NEcR2Kmk/B2BWHsUcWQW83Bx4OANDWODrM8SI4M9R2NAUt\ns0QbFBlydYyyq4OXoKFVkzAbNfjHI0rjQbfHD7e39wRCbbMV8Ra9ohzwbEEdgpCbDGrQNAnfAAJj\noVDV2C2+Zno55r7jjTh8Onzbydh5c5H36CPI+wXXsUZlNmPKH59B5s03Dsq5RjA82LivGuV1XdhT\n3IgNe7lA8n0rJU+YUNfpuYBRRcg9fCbR2QWxuaOK5F5oEqeivY1jObGyDLlAyD1EhJAPFX5xyww8\ndeecPsuC9AOUrJtM3ATJb1TjeMICbMn5AUrLg6UsIwH+EBlyxi8RXsYnTfS9fG0pFSBjV6kpzF0s\nEXLVAAeh+hZl7RpNkfBaraj95DM4qqSsGc0Ontpg97FGNLZxUc1JObGYNSER+T04YHdY3UGTlW67\nBy99dDjMHsMLwbjt2ME6AEBCchTufngx0gPabkUw/IjnA4Xlp7kaap+spQ/Jt8M0RoUm5G//bQf0\nVgs0TiMuylkIANhdEzqz88q+d1HWUYWE2rFoK/Xio3f2IUGdgKLPgmtHZy3kajFpmgrKkru7ZXXP\ntBq7t5Rhz9YKAFCMB0CwUzsAjJuYCLDAnx77SgwAsCXRAAu8uu9dVHbW4p1DHyvUMSMF7xz6GGqn\nAQTLjYUaHQmVisJt9y/A5OkDqwv8wf/NQU5ePCZP5+rFnXUkbs+8DemlBYqWd3qbBVur9iDr1Cxo\n3AbENWYrjiOoKFgn3a/WaX2FzW3HutOb4B+hZVjnG6rrgwm5Tq8GI1OfeNrbFeu9JA0tbzobyuHZ\n2kuW3ObwoMPqRvowZMeBMITcqAFNEoPmLyNPEHRYw5el1TRZ8dt/7sGvX9uFxrbQ9fcEQSB2zmzQ\nhnMvW3o+oqK+C/c8uxE7jzWIy05UcvdYWoIRf394CVatmIBJ2bHhDjGqMcpM3bjBjAUJfSI3cJj4\nb9Bc7sWOTZwDrTxD7rU74CZUUKkoeAfZsCoCDgumpva+kQwDlazHmCxorQcICmg0ca75rRuP4MjJ\nX2Ly738bZPAxnPAJNeS0Dp8Ur8W42GxouqWaKYGwA4BbmNx5gwm5PHOnGmBf0rZuJ3QaGk5eEt7W\n5YSzti5oO+oMCbnb68fv39mL6oZuzJzAtSl68KZCzOCNmAIle1Ny46BRU9h3vAl2pwduDzfhzUkz\no6x2ZPcnNwdI8JddNmGYziSC3hDPT26//OgIpsxIgzdElsoQQMjHT0rC1g2n4fcxyD4xFwBw2y2X\n4mB9EfbVH+nT51aXt2PNx0fQ2qSsOf7JYxcGqV1W3TcfW9afQkUJZ+yYXloA7SxOGr1hjdRqq6eW\nelNnpCExxQSPx4/TxcFkQuMywK2TJrZHm05gQvxYqEZIOVcl33qM8kvno9GeeSYke1w8ssfFg/Ez\nSE4zo6G2C80fW2FGMsztyeJ2BEPiYG0x8qB0av/eNZOhUpHIzInFy3/aCIM1Bp3OLiRFJQR+1Bnh\n5T3v4FBDEbx+H67Mv3hQjx1B/9HQyN1/lnQ1Omq4ZxdJEj12dmEIEhpV+DyX1eEJ8lOpb7Hho42n\nMSM/USTEuWnD4woeqmezyaAGRZHwM4Mzf65vkcbD9m4XYkM4ZQOS5w0A/ObN3XjlFxcOyudHMDIh\nzB8b25QKpBZeZZkUa4BaRSEjKbxPy2jH6MqQe7homtaohlqvnFQd3iI5yMonVz6HA25KBcsQt5CI\noO/Q8ZL1/mbIY6LN8PsJEJSU2WFBwlZSgrrVXwzqOZ4pGJ5kW31ufFS0Bk9veQnJ2VJdqbye/IWd\nbwAA3A7lNa3mCbhAxAfqS9JpdSMuWocCXr7Z2OqAoybYUCUrXgc1PfAhoaqhGwdPNqO1y4U9xVyv\n1niL9LCVR9/nTk7GM3fPx3VLOYm3zekV+7QOh7tsf6EP6OOelhnpczpSESfLVHV1OOELQciNAddc\nQlIUrv2B0jSmrr3TcTAAACAASURBVLITKaYE2D0O+AJKZeTZZtrHXRsUTeLkMalncVyiEU88f3nI\n0pOMMTH44Y/n4uqbOFm2uT0ZP5t1F1iGVRw7VEb8sWdX4NE/fA9X3liAOYtykD8lWbFeGDcor/Ka\nfWbLy3hmy8vYW6tUofz70Cd4dvurQZ8z1Pi6lPObuGnCNQCApBQT1JrBm6KQFIkbbpsZdO8KiG/M\ngbo7ODM5qSAF02ZlwBJrgDqahcqtg9XdN8fs/qCqpQExjZmo7AgOlkZw9sCyLFw+N9p4M9SC2enI\nGR+PeUs5dQrrDx+41mkomPTBQSQdf9+GqiN/bfUxbNxXgz/9ez+aeTPGtGHsnyyYuAnQqCjQFAnf\nILVEtcvmfV9uK8e/1h6Hhx+T7U4pSdPaKSUtEiwDK9eLYHTA52dw61NfK8h44Hz3XJWpyzGqCLmL\nd6lUa1UgCOWg6PfLHKxl/yTrdMJNqkbFJP98wUAl6waDBn4/BVJOyPm6bHdr2+Cd4CCAYbnv5pBJ\n002xYzFxwS+QNGYpYmR1jHXdjYhtGAO2RRkpFiTqggFU1wBcx1mWhd3lg1GnwvXLxgEArl2aC0d1\nMCHXUyw8PmbA5i1rd1SIr9u7uXOVm7mpZb2DBaIuOL5bHV6xLVqmzIsgNX54pHu9QT7G6A0jR5kR\nQTDkiqkDu6rg5b0K5EZulhAdInLGK00q135yFDreE8LpU96LQtkJwZDQOrkI/qKLxym28fdBoTW5\nMA1TZ3JGRZRPBbfbJ5ZnAaEJOUWRUMnqTeMTo5CTJ537sss59UaukZNg62jpex9vKcFzO16Dly+n\nsbptWHN6I/bXHUGn8+yqVGo660ARFFSd3D0/ecbgt64xRevw898sx2Urp4Rcb27nsuMXXS4pXrSy\ndp5aAwWSpdDRHdzW6kyRWJKPlOqJKN/fKf4fEZx9/OuL9fjDr9bCcZQbE3Iyk3HzXXOwbAV3TTBe\n5X9DarXAL36Pf2RegxXzs0NmyGP4rg+hCLmceAqS9p6y7EON5XMyFe8zkqJAU0RQX/KBgGFYUakH\nAJsP1OKTTSW49pdr8PMXt+L7j68Ta8zlv0sE5zZsDq8iUAMAi2UlSredJwrEEU/InV4XGF4q4+UH\nQpVKBUAaHFgWcLmDJ8Usy4LwuOEhVJg5gZPNzgvIHkRw9iEQcqerf5MOkiLh85OgSDkh54gR4xo5\nLbIAqR2bLcCRWauPQ+rY74Hk3ZiFazu5Jj/oGCTF3Z4Tp3ElAfGJ/Senbo8fDMNCr6UxKScOq5+9\nHBcUpKFj34GgbfX8nN7mHNhkUN4jEgAMWlo08AOkHqcAEB/NTXaMeu6+tTk8ogHcrIlJePy2WQBG\ndqfCex5ZjBtum4k7Hlg43KcSQQ+gVZSYed71XZnYm1xojQYAlrhgQq5S08jKjRPftzbZoKW4fZxe\n5XgjlFNZWqRJxLwluYpt+hro0uq4G3H7xlI8+/jXAIDkNDN+/PNFQe33wuF7V09GwewMPPy75YiJ\n5QIS8y0L8N51L+Gh+XcFbd/u5OS5u2T18aXtZ9dQ0cf4kVY2Fdu/5UrP1AMs0ekLps/JxC33zA1a\nHtPOjbUTpnLzBIIACNlvrovixrPmtsF3Wie7uWAP3W1EaXvlGR+vtqsB5aPAWX84Ybe50R1A/Bqr\nbIqyifgEpUQ2MEPOuFxw0jp0q4xIjQ9dyywQcnnrsw83nMJf/nsQOlkwrdshEPLhqybNSTXjrqsm\n45m75+HzP1+BKD0vWR8EQi6QcX2I0ptTfDeYumZOmdAi+19aIuR8wDh4shlHSlp633AYIagjl85I\nF0scJ+XEiW2Vr1qUG3bfcwkjuoa809mFu774JZZlL8BdM2/mIpM0QKs0gGxwcLnUYHkTGLmrKuv1\ngmD8cJMqLJ+RjsL8RGQMoxQoAg56DS9Zd/ffId3PkFCrpP0YPqbkd42sAVsg5N2enqWNzY42EIw0\n4btwRT42rj2h2OaCi8YiKcWErNz+G1nY+aCHgSfGFE/y3W3BigKLow2AEXanF2Zj/0o8QrmlxgfI\nzOSSo4SADPnp6g5sP1IPgDPDidKrEW3UoLbZhnue3YQnbp+NpNiRZdwSlxilkENHMHIxuTANWblx\nWPfpUZzi66tj4wyor+aIVVQYBdV1txTiuSfWi++7vo4G8gFHACH38hJ2lpDug0DyLH829QQNf68e\n2iORKUusXnRm7wti4gy4/PqpAICM7BiA4GraVVQekkPUPjdYm5FojMfhxuPisvKOKsxIDZ1JHgr4\nXCzMrUnie7WGhmcIfedClZkQPhoEScAUrcMdDyyEKaDeNz7GjCa0oKqpMWjfM4VX44LarYK5Iwnt\nnVagb5dLWDz49W8BAO9c8wL0qp7bTp6r+HbNcTTVd2PFdVMUpSJulxcH91Zjw+fHodIT+MVvVoj3\nq9elJJ40rQwMhaoh33+SG1NUNKVQtAiI5ksmhQx4TZMV//n6JABl0HnNdk5lphnCYFRvIAgCly9U\nGho2tTvAMCz8DBuyzryvEAj5tHHxIAlCfObLIcjXWzqdUNEkCIJATZMV3+6twrJZmUHbR9Aznnxj\nFwDgP7+5pN/zurMFN69a02lo/PiaKdhxpB5LZqRj1oQk+Bmmz4Ho0Y4RmyF32VtQXn8IAPBt+XYA\nkku1itaClGVJS8oyMX1OBpZfORHXr5ohLvc5OJLmU2kQH61Dblr0eVGHMNIxUMk6APgYEjQlU0fw\nknVvZ3e4XYYFLG+Q1ulxQO3Sg/SFjn3VdTeC5KPxRIo9yEUZ4B6Q4ycliRP1/kCoydLrpH1ZhgEr\nk90JZnipR7cg09GgiOL3Fc4QwZVA8xp5fbogWVerKOg0lJgdB4AoPmveaeMk7DVNVnz2XWm/zymC\nCOSIMmtx/W0zsfLWGbhwRT7GTZTIHxHmgR9YjuC3kdC4jOhyK8cbIUPup7n7KiZFSfCvu6UQ37s6\nfNs/ObS64Pt86aXBCpq+QqdXIynZhKqyNuzaUoZXntiJC7ouw5w0qWymtL0K7c5O7K87AoOaIy6f\nFK87q07sqkqJgY6bmBjkPj/YoGkKP7x7Ln70kwVIlZFzlmFBEARS0qOD3PczkrjsTUOjspXkmYJh\nGTA+6bd+c/NnZ1THz7IsUsunIOvkLFSdxzXpOzeXoexUC156ZiM62uxgWRZHD9TgT499jQ2fc8En\nr4NFdWUL3C4vRzrdAEMwWLFysqKPvQCBkE/9y3MwTciHZ/o87OCJpTqM1FwIPHfbPWBZFr97a490\nvBC3WKh+4MMJIeC+p6ihly17hkC2DVoVfnHLTPzt4SV46aHFim1cHj8q6rtQWtOJuGiduM+LH47M\njisjGfJEybtfnYCjn6rUswWBC2jVFHQaGstmZYAiCURHacKa/p2LGLEZ8uIdzwYv9PkBDaBWaZGo\nsQA+TiLb0BiPiTNNYisZAR4rJ31RGw19bskVwdBDJxLy/g8OGo0eFOVASnIT0lKa0ETOBf1lI9yt\nI0uSw/I1pR1WG8YdXQy3xo439/8XN065UpzwAkBNVz1Ihnv4jk/MBkkSWHzJeMQNUtsTYaAzyCRi\ngTVw5imT0bGfk7DHezoHJFnvsnPk2WxUo4vv3SyvH/fZ7GBlRlhyk5bLFmTj440lPR4/aYA92COI\nQA6CIETTs2bexTc5LXS/6XAwtyWjxa5UmDi8Low5MQcGK9f2bs5czqzw7kcWo6PNgXF8yVRfIK9Z\nvvGOWbBb3YiJOzN1iCXOgMb6bmz4giMh7acY/PqOO9Dp7sb/ffFLfFT0JT4q+hIAMCUxH7tquPGg\nztqINNPZKfOiO41gCQaP/fGyoKzkUGEMX5Jw+08WwOX04osPD8PSgxInawy3vbOZgMfvhXqQHOqt\nbhtoj0T+aa8GB2qODfh4B+qPwdLKlU/8a8dqPH3FA6CpETvdGzIwpF98vr78+024YPlYbF3PPWsc\nhg50xTQiuSYf//47R5Bz50cBdhqMxo3COVmhj8m3PSNVKkz+w9N46MUtQDentFHRFBAink3zwegv\ntpXDqFejodWOCWNisGh6Gl759GjQ9uGI/XDjTLLjAMTWpkLAITPJBFtAAsDl8eEnz38HAMhIjILL\n7UOHdfDbDJ4PsMvm2Ot3V2H97io8/9MLMC5j4Ca0LMuCYVhRbTkYWL31/9k778A2yvuNf+40reG9\nV2LHGc5w9oAMCAk7jDILpfwoUMosUHYZLZS9oZS9V4Eyw0wYgSxC9k5sJ/GM9x7a0v3+OEmns+TE\nTpzgED//WLp773SW7t73O57v85UTLpE0Fg4n9M+nPgSqC/TTgHV6IzqtQhX1eLVEmcIXxk0b5B7V\nUdb+KQx1uCJQV7wvlHWzQc5MjC8oJCmxBa2mBVN2Fq6m5j2qnx5seNyyWmRbm78mzGlm4c7FfLT1\na9W4woadRHXIDoFRJ2fjZh07jJFj1a139hU7K2VDIbSW2+dUT3qCKJJ5zlkA2DQGOmyRHfI9ibpU\n+uu+5s1QqG6hCuurLrmMlRdeDJKEzufGolcW9ukFyv96/XlqZesAvBEo8QMYwP4gOS2a/7vqyIhZ\nsFBc8JdpjJ2cxS33nYBWLxDbkMGuZrVeQrO9JeiMg2KAJ6VYe+WMg1qxfWh+CuOmZPfq+EiYOy88\nw97WaicuKjwYEWOwckTWRACabD2vlZYkiS11RZS37Oac96/gnPev6F0Ns08AUTpoznhXGKN0nHPR\nZJWgW1ckJFsQjRKmtjhK+rA+u6G9Ga1Hccizdo0jZ9s0PL3oSV7cWMKLq95hc20hT337VnC7vcjI\n+potfXathwqcDnfQGQ8g4Iw7jO1MOCeOv553hmp/8YYGRLcObUz3a10gQy5o5QDHrt2K+KGuS5eS\nc4+VhR2PGKMEtd5dIFPVT5s1hBOmDeao8eHihV3ZZb82Amt5d0yiniKQ7Q5lqmq7fGevzFfu1cxk\nCw9fo2i09IWw3OGEDyMkOt7x33/7gtYOJxff+y2n3/x5MLjSHWqbbPywuqJH2gMOP2V9ZE78Xkb+\nttEvHfJQgyQmZAIIZNh0egOicSzllan8slqmARq7OOT2qip8Lz0JgDluoM6zP0GvFdGIAvZ9oKxL\nXXpld5R4+MaeiVvQ4ens+1Y0+4rGqtUAuLpozelEdZaizdFO9k7ZCS3d0fdK8c9/ImdZymsUVeDa\nhd+qBwkCRj8VUyP5wiLWAKu21vC7mz/nlBs+i1gvXuE//6CQHpGBDLl9d1VQdO/Cyq+4uPxzVpx9\nHkVP/ht3a6sqWDAlhEb8+HWzggbNuwu27zN91u3x8cF3RbwyfzNVDR17P2AAhw0G5SaE1Ql3Re6w\nJE77/TgMRh1xqVHoXSa+K17KuurNwXuysYvjuj/Zg0DbzqzBfddKL1LW96l7v2ftijLOGXmKantO\ny2jMxbLS+70/Pa1iA3Q4O3l+1ds8vvwlWhxq2v6y8tXcvegJbv/+keC25RVrWL17I8+tfIvKtu7p\nrqt3b8TnlfAK/SeoGgmCIJCQaUTnNrJse3hmc19RVd8knz9keTB1xmJzKW2A1lVvZnPtdooaduHy\nhM/R93/8Mju/dPPo/DcYumlWcHtC3SDKy/pXF5KDgd275e+0JWE3LoO6t7FlnINzRp9Cfkoe1fkb\naI2vxq1zIHTIz57B3H1QKGCHiloN64vqVO3A9F2CSReckM+b/zyeMUMS6YrkeBOiKHDjBRO5/rzx\nwe3jhyWp1sT+gDNny4wfp3P/nk+XW3bOQh1y3R4CcKIokJpgZro/QbEv5XSHM35cW0mMRU9eCAts\n846GfbKlflpbyYV3Lwiq3786f3O3Y71eH/96ZQVP/Hctp9/8ORW1kbtSrNhczZ3PL2fzTnl+OrKg\nbxJRhyr6JYfJ61HqSS+LMfNqp4TL4wrSgHVGA+1tEpu2KG1lutbdtaxT6k1GFww+sBc8gF5BEARM\nRi3bSpt45O3VXH32uGCfzt5CK4Jdk0FpXAFTWtvQRfdc+OhgwGNXLzZdM1I2t4NAXkRvOHCZodOP\nUmrTy956R7VPNOgRdX7RN8nL859sYmtpExefMipYv/PuwsLg+NYOJ3HR6hrZRWvkjGF2SMuyQJS/\ndYsS8U53KoZh/aIfseTmYJp9bHBbVIiYzdCsOCQJ3v+2CI9XorCsmRGDex9Bvf25ZWwrlY2zmsZO\nMpIsTBuTxohBh3c0dgC9h9Ff+qHxanlg8X/Iix+MKIhkWTMA5d7XaPfdIR+an8w5F00iZ2i4Eb8/\nOO28cewuayY9K475/nrML/4nO5Uv/utBtjQUYdFY+OxxmT6oGa/Hq3Nx1Rd38My8e0k2J/DA4mco\n9iuA13c08sBxt1LZWo1JFxV00J0ehV66tmoTa6s2UdlWzdb6Yp466Z+Igvq7kSSJh5c+x1DfUUhC\n/8+ADRueRv2OUtas2sWKxlt44bQH97skrt6v2h6fraepxBWsK65pbUCr0XLRx39D9GoBCXNbAkeM\nG8ml085VnSNn+zQAcrcr6vHDpsVStKKF5rr+JXraV3A63PyypISpM3MxdFHuLqmSA0BZg+Nx6x04\nflbKnqbljgu+fuCCv7KjsYQv390CNfK6FmXp3iH2uZUM+Z0vLFbt00WgmnfXcjfGrDAixg5V9BNu\nv3hqt5/9ayFAMXe6e59ECYUzmCFXvieNKCAKEIkEFwjwR/u1PNo6XQMtjHsIt8dHc7uDUbkJ5KbH\nsKNSZnK4PD6qGztJT9wzc3jLrkYGpVqxmPQsWb+bR99Rd+b5ankpWSlW5s3IZV1hHT+sruD0o4aw\nvqiehlY7ZSFJoE9+3MFfzx2vOr61w8l9r60Mvk+Oi9pnP+C3gn6ZIfe41FmsU4xQ01GP0X+1xihL\nWJYuyqQW33G1KtH7pCOnHZgLHcA+I8ofAV68bjcLVpTu83lEv8CbSxuFu+3g9s3tCUSH+hHzdqEg\n2h2K8erz9i0tO1CjX5CXSF5WLABV878IG5c4/cgg/U4jyd/n4nW7Wbu9DpBpZjsqlAygr0t0tTFk\n8g2t9Q6orHv20LPXY7OpWqB0zSyGRnKXbOi9OFGHzRV0xgFWbK7ho0U7ePmz7qO7AxhAdzD61xnZ\nOYIdTaUUNe5i0Y6fVeP2J0MuCAIjxqTtk4jjnjB2UhYnnVlAQnJ4tlzjNjA9ezK+SmXfOWlnB18v\nLl0BEHTGAXY2y23R7vrhMW745h621hWFnbeyrTqYGa/tqKe4sSRsTImf/i9IIpLY/x3yMfmy0nPK\n7mGkLzuCBlvTXo7YO5qbZXZXZm4MN/3rBOLz5PurrK6G//zyBubWBIavn83INcczqHgShYv23gd9\n9rmDSfPP+23ttr2MPjTx+Wfr+PGbQv77+s/UVLWyenkpVf61qq5B/puSGMeMiaNoTlTKTJISleBZ\nrDGaSRljiUtVHD3zHtSoA6VxgkaryjyCWri0K6whLE5BkPVWgtdgMRAfbWRUbkK/E3QDRfU9oIbd\nW7g9PgrLmoLir13/x0hlKkdPzGSmv+Vr0CHvGMiQ9xQbd9QjSTA4NZqTp+eQFBfFsGx5Pigq27Mo\n5bINVdz6n6Xc9O8lNLc5mL94p2r/1WfLAa0XPtnEZQ98x10v/syPayu57omfeP3LrXyxtASDXsPr\ndx2HKMC3K8v5cukuGlvtbNrZAEBds3pOOnl67mGv9dUvHXK3U+2QJ2kEblxwLyaNbJxHmWLC6hKi\numTIm7bKGb2iCSeij+s76t8A+gamkEiY29NzI0wfpc5qavwGnFs04G7tH0rrPp8SRe5sUxxUndOI\nO2SfT/LhaVG+B08vvoeeoMjf1zM3IwZ7VRUtGzZS8sprwf2WYUMpeORBEqZNVWXIA3D5r6exVc27\n71o7VOif3M1GrcoRSYiRDZyOXeFGuDFVpqZ3FO/AtbuSo8Zn8qd54bWbQ7PimDddFmvcuqv3tMua\nxsiGaGl1/7hXBnBoISC4FtqnGAirVT2Y6uS9RXJqOIuowa8BsWG14rRUrHAyJUM2vDSCxv9XbTK4\nvW46XJ10uu2srlIo3Fa9mZmDpoR9TllLZdh3s71BzsiLPvGQyJAnhbCARJ+GyuqG/T5nW6ucwU5M\niMYYpSM2QWYXzV/zI1u3VpJTOFV1z1kbUrjo5b9z8/wHqOtsxOvz4tGqnZW05ASyk+V5trq+uV/f\nk/uKwlK5jr+8uIUXH1vMVx9t4rXnluD1+Ghtkef+pPgYCjJGII5vxKWXt2UmhfeUm3WUorMQHd19\nGUtoDfmoXDWLZU9dfKJDMuJxVoNqrEYj8tLf53LfFdO7Pf7XRNAh30vdcCTsrGzhjFs+58anlwRr\nmrt+TwGxuJx0ZW6aNS4j2O4qNEM+gJ5h5Ra5NePM8RmkJ1l49Y7jOOsYmVUc6GDTFW6Pl1Nu+IwH\n31wFyNpAF969gO1lzeSmx3D/ldN55qbZHD9tEBlJcoa9uiFyqeiYIYkkxERx4pGy/fb8J5u46J6F\n/P3ZZXy9vET1W8ZHGzhu2kBLu/7pkLsiR3/NOi9Opw6jyYC3i/MSWkNur67Btkk2DoyTj2AA/Q+h\nWdE3v9rGrf9Z2iODYeiES1XvNRp5gXBrDDQsWda3F7mP8PlbIEXFD8UXQlkfvuEYmkoUwbTajgZ0\n7UpG6rhTuxcT6i0kSeLJ9+S2gfmD41l7xTVsuetu1ZjEGdOxDpNrwwIOuVZSnqtAoKTrIhyoAwug\nwW9MXn2ObLw/du0sbv/TFLQaEUmSaN+2HV1crOqY1JOOB6B59Ro23Xwbf52Xxxn+OrVQiKLAX84o\nICHGSHs3YnN7Qq0/CjtlZKpqu7eP2QgDODwQGys/rzqXkdw4RWytq0Mu9qECbV/DYNTylxuP4oK/\nTCMpRTaqKkqbWLuijPJdTXLfcqClyca8QfJzWt1Rh0/y4ZV8KtX1ZrvMSkq1JAUVxx+YfRtzm8/C\n9XMiOqcRvd1MbH0GolfDy2ve45fKdarr6XDZiGlIR+sxYHD0fwFWQRC467FT0Pqn7ra2ntPBWx1t\nbKsPF1qytclzW2qS/N0HVPXFWguDdkyMeK7cbUdg+Wk0d7/6KhWNNWg9etArc3N6UgIZGXGg9aFr\niA7rDHCoo7G+A29deCbb64S3XlpOh19QNTUpDovezGMn3EnpuBVsnbCQ2AhihmOzRtBpkdkOlpg9\nZMg9Sg25y6NeG7uKuoUiPqTMKzYC7Vqv0+y3ivmBgnEfM+QOp4frnvgp+L68Vg6Ed3XIA4nR1AQz\n5x83HK1GUCmBB4IZbZ0Daus9RWl1G4IgJ2QCMEfJdnenXV164PbbQ/e8orTju+jkkZw6SxHpHT88\niTFDEoNlBJeeNpqpIZo/mf7OQAkxRo6eoCRYLj+jIOzanv1oI//+QC6buvrscbx8+3HB1oCHM/ol\nYb/TrqaAOZ06RMBi8NDaEo3BqAvLkIdm5mxlZcHX2ZkD2fH+iK6iJVt2NVLfYle1w4oEozkJty4L\nnVvO5IghGXKf07GnQw8aAg55dWcToletoNpeqdy3bc52zK1yhP26O+fuVVyqN9ha0kRjq4OMJDNT\nRqXyS5f9xvR00k+dF3wfoKybvMp36PYbGw6XevJ2dXHQm/wZ9IDBEbqQOuvqcDU1kTD9CBqXKbTe\nQIYcwOd00l5YRMLU7tWuLVE6Glq7/309Xh81jZ2kJZjR+AMByzdV8+rncv363CnZrNxao3ymr/9n\n4gbQ/5CSLBs3Fww5l5xJ0dy88D6itEYEt2wwTjpyMFk5cQzNP7A9tPcXKWnRkAYXXnkkj/1jIT9+\no2hEJCRacDk91OxuQ+80oxE1/FjyMxeOOxOAeGMco5OH882OH/mq6AcAhicOYW72LJb+VEhDoYfi\nLXIbyiRnHnqnCUtbIm1NaZQPX83G2u1My1K6KWyv30nWrnH0Fu72dkpeeZ30eSdhyRuy9wP6GIkj\nNNSs8eJw9jxrd+9P/6aspZKHjvs7OXGycF5Vey1NzZ3EYCUlQQ5cxkbLDnlC3eC9njOldAS/bJSV\nk62DJebNnEJjfQcmvxMTnaalrcLM5oodHJPft7oEvyb+9+7KbveV72gGUcQneklLUP7nZ0//F26v\nOyI1VhAERp1qZdHaFfxl5HXdntsXyJBrNLi7BKf3JFB27e/Hc+l9sqBq1wBxf0eAYu7opUN+5wvL\nVe8DAnhdKesXnjSSovJmzjpmKJnJFn5/3HDVbxTIkD/70UZmT8rCqO+Xrku/QElVK/e88gsNLXby\nsmJV31Www1FIO7SNO+q57/3d8L5SEliQl8iZxwxFkiRmFGSwa3cLc7p0+5iUn8Kk/BRKq9uIMeuJ\nizayobievMxYzF2c6/zB8WwrbeLGP0wkK8XKtY//GGReDsmI2WMg63BCv/wWOm3q+gaPV0OqPgpR\ngE6bEYNBu0d6b0BFukEXQ3bKgMJ6f8QZs/PCtkWKvrZ2OMP6lev0SnRZ1MqLo1Nrwm1TMhWSJLHj\nP8+x68WX++qSe4yAQ97hcSH41I/Ydvu24Gunx4XWo0fQ0KfOOMB/PpSjj1ecORZ3TU3Y/oKH71ct\neIEM+aRWpSVG4BnbuksdIAt1yH/ZXM1Hi2TKaXx0eNTfUSvXoZsy1YEJ8+BBWPNHBN876+RxrZu3\n0LIxvP+uxaTH5nBHVHgHuPqRRVzx0A/846Wf+Xp5CVc+/AMPvrGKuiY5Q54Sb+LVO44L1vH5JCXg\nMIAB9BQBrZIl3+zEW2fgiRPu4pET7kDnlJ/f5DQrYyZkHjK1cJFqZacdncv4qTJ98O3nVoBTnsNe\nXvMeMY1p+L4YTOW7JoydVr4qXgRAlM5IZ5nI7lVuFnyqiDjG12cT1SE7mdGtyRjsZr7buUT1ebt2\n1O3TtZe89Cr1i35k5/Mv7dPx+wud39DtjUNeXd1MbH0ma6s24fV5KW/ZzSOLn8fcHo8k+IK/R4Bq\nDjDn5HyOnJ3HxCMG8bd/HEvWxPC1ovAreZ6LjjUydGQK00JEPLNzEgDYXljZ+3+yn8Lj8VJXrlBl\nXXo75XlrmG8jowAAIABJREFUKSr4EZfBv90n0JBVTJxJoUFHGywkmLpP0vxxwu945v9uJ8USTmkP\noGPHThBFbC5fWIZ8TzXkKfEmPnpwHjf+YSK/P2743v7FfgWD/17vLWV9u7+c7bLTx6i2d+2zfvL0\nHK4/bwJZKVYEQQibP2PMSr39Rz/s6NU1HE6wOdz89bEfg0roBV3U/QNZ6JZ2Z9CWWrxOrc0zZWRq\nsHRCEATyc+I5eUZut0GQwWnRQZHfsUOTwpxxgL9fNIVbL5zMrPEZ5GbE8H8ny9nzWKtBlcE/3NEv\nHXJHF1E3QZDI91OT7Q4zGq1Itr9fnd6g4do75gDgtdtZe/W1NK+RKXFbrTmkJ4YL2Azg10ekNiAe\nr4+2TlcwkylJEhf84xsuf/B71TitVnH8hoyzostw4hO1tHQoGVRXUxO1C7+j+suvcdbvf41fbxBw\nyF2SL7y2FIkrP7+dF1a9g8vrRuPRodFHOsu+w+n2UlHbQUFeImOHJrH2ymsA0MXGEjdxPOOeegyd\nVR2oMufKdT52UbmY7/31pK99oe5hu2prbfD1e98qmbVIDrm3UzYUNWYzg/74h+B2fVwcBQ/ex5gH\n7wPA1SjTKTfffhdb7vwnng71HGCJ0iFJhAVnQL5Pdtf7a2CLG3j2o43BvugBJMebSIqL4u27TwwK\nxRwq9WiSJFFW08ZdLyynsdWOJEks3bCbmsb+0+bvcIE+RPvinRdX8NkL2/n6jULmJswFICauf/UP\n7gkuu2EWCUlmEpLMnPunySSlWFUt1/LXHYvo0bK8fDVZOxWl3ICqd1xdFp4KIw57ZAVmjU/5zqI6\n4kCCLXVFbK+XhYKiOhWDbMzEjB5ds6upmYalcolSR3ExlR9+jK287/qC9wT6gJPSZU7q2g4uAK/P\nS+62aWSWFPD58mU8v+ptblxwL85ikxyYlcRgn+ek5GgSkszMmDuUI2cPYe68fE4+qwBLtJGsdMVZ\nTB+lvt8i1T4X5A8GYHtRFW2OvYvBHQqoq1UEXLdOWIj+uGquPv0snj7nTvSTFQHSmUeMQiP2XCRN\nEATM+u5Zej63G5/DgSRJ/P6Or6jqUj+7t0yfXqfhqAmZ/Zaa3h2CKuu9yJD7fBKiKJA/OJ5TZuYy\nNEspW9tTrX0khNbfdxWVPZTR0GKntZt67n1BSZV67gmlnIPcijYxxsji9bs57ab5nHfHVyxYUaYa\nM/EAsLtirQamj00PBlrOOmYoHz44j5dumxvUCRhAP6WsO9021YWJoo9JBtlRkAR5wRk+OpXLbzyK\nxGRLsF6v6vMvsVfIUWAvApusQ/ZL7XYABxduj497X/2FbaVN3HnJVMb5W4E0tzspqWolJ1023OJj\n46nzr8dCSyHHjYbFbROobVYMI29Itrx6yWIGn3HGQfs/vP4ese0uJ3qXenEXJZEGWxPf71rKmJTh\naLxatFF9e48GlEjjrEY8NkXUbOKLz6IxRK6NE3U6dLGxNHYqzJPaJpuqrn9wWjSl1W3MX7KLC0/K\nRxQFGlrkIMjkkSkRF1mPTTZYtGYTcZMmBluuiXr5edbFyr+pu60dr1NZmH75w/9x5Cf/QxDl7yYQ\ndV1bWEd8tJH1xfV8t7KcU2fmBh1ro9eJQ9QrBWkhCESGRVEI0t/abe5gW7f+jJfnb2b+4l2ArLeQ\nmWzhza+2MXVUKnf0wxY5v2UYurQmbKjtoKG2A/witLF7Kbnpj0hNj+GqW49Rb8uI4Yw/TODjd9YC\nENuYQVNKGRI+BH8cX+PVgQTpZaOoKRXpiFaUeKNMOkaNS2f1crWxl1lSgE/j5u5FTwBw+eQL0Hnl\nOemiq44kOzehR9dsq6gIql2D3Mqx7K13GHzxRWScdsoejuw7GPzBmXa7stYs3PAz3326jeknDea0\nyervtNXRjtYj/6+526exwbmRQU2TsLaGG8AGozbsNwlgXH4uK7+pRG/UMGfuGN7aolC3rREc8kE5\nSUiij4TawWwsK2bG8AlhYw417KyQlftrsrbx8tkPYtEriZczjpzNq9sWIQkSR484q08/12uX17ti\nk8z4Kq1Sd3b5rdqb+yLq9sInG/H5pOB6e/+V0zn7ti/l8/XSIbealaxraLb8UIYkSfzpXwsx6DV8\n+MC8vR+wF3Ta3dz+nBykvPrssRw/bXDYGI1G5Jpzx/OPF+XywQ67bDOfMiWWaRNH8sF3RUw/SL3A\n+2M3gV8b/XL2cLvlBW7J8gl02owIguIUCFo5gi4IAslp0SrxnADtFuCRvD9y0onqvncD6N/weH3B\nFlW7drcGVb4BHn93bfC1VhvuVGZnVlMcc1TQSOtob2ZL8gw2pRxF1U8/HtgL74JAhtzdHH6doRT2\n9k47Go8evalvH8NWv/BJjEXPhhtuBsA0KLtbZzwAUa9HK6mzXKFCanedP4ajs3V4vD46HR5213fQ\n0uFk1vgM7rokcmtBrz8goDGZ0MWEU5O0FlkIxNPRTu23aiZE29ZtOBubsJVXYPFTzR95ew23PbuM\nnzdV09jq4LUvtvLRoh3EuNu5ruR95jasCh4f2hM9FFZTQLH10BCICTjjIGcovv1FzgRW1P42sl2H\nErR7MSIOxQx5dxg9IYOps2TmjNatB4mgMx6AxqNDkORtHW3y83TJtTP46+1ziEtQnCSLVZl7LK1K\nhnfBjp9IrJKzOF1bl+4JrkZ5nRh88f8x/t9PMuSKv8jXUBQumHagkJkkO9K1IU7Zyu/KsbQlsfbr\ncBp+bZtaVC2zpEDljF963cwefW5iipVb7z+JG/5xPIMyk/AYFGZYoPY8FDqdhpRcEwIC5WUHly12\noLC7Wv4uj8gfo3LGAUYmDcU7thrt+EaSzD0L8PQUXodsm7pEf7eF36gD3hX7Iur21fJSALx+avT+\n1H2HHvtb6VXd0i7Pl/vaSg5ga0kjl973Lau31fL7O74KftdJsd0HhscPSwrLWRTkmCnIS+Ley6cT\ns4eWfwM4sOiXs4nHK9+oDocej0eDKEi0e8Dt1hAdl9b9gX7qQ+OJ5wOQnxPf/dgB9Du4Pb5gJPad\nb7azaUd9cF8orUeM4JDrtB68op6WDbK6/lcbFlITnUedNQdHRSOO2tqwYw4UAg652BHuEAaMV4Cq\nqiYEBGKS+3YCDGTIB62Yj6NKziRojOF08q4QDXp0Xfqkd9jlc40ZkkjJrTcx7YdX0PvcdNrdbPG3\nIRvdTVZL8vkoe1POiOvj4xEEgTEP3sfYxx4OjtGaZWOq6ZdVlLz0iur4zbffxeqL/8y6a64jubVK\nta+8pp3cjBiO89e6pjhlAz20Bj6g+tkVwQx5Z+9V2w82Vm9T37d6nUijX9W+qqEzTNxyAAcWZr9j\nOWJMKqefHx7w1f9GjMUAZs6ROx8kVw1F75SNPG2qi4lHyM+dpU0uPTJl+Rg/JZu4BBNJKVYMRh2m\nkD7Lk2fkEJcgHx9fr4gDlYc812ZLLxzyJvl5N2VmYsrOInmunE1uWLpMlTk/kCgYIQcr3O2KdSvg\nf+0Rw7qGVNd1r3J+yjljSc+K7XZ/V4iiXGcriiJX3jQbrygHUkfkZkccnzNKLkFob3bi9LhYW7UZ\nn3Tozh2BNn0ZaeGlb6Io8tTJd/PICXcgin1r4vocsh3iEvzlCi4vOq3IZaeP4ew54V1CfivQB0Xd\nIpeldEVoK9v6kH7Tj107i5OOHMzQ7N6LLaf5y0893ejIHGqoDik529fyuY8X7aC2ycbdL69QbU/b\nQ6muIAh8+vCpvPnP43n6hqN56OoZ6DQDtPH+gH7pkGs88qTn9WmQJBFRlNBLGhwOAzHxUVTUtvP+\nt4U8++EG1YMfoCm3+eToZexApKdf45hJWar3Hq+PlHglsrdmu5JlCFVlFzXhv2tSUjOJvipqv5Oz\nrLYViqHXHJVGw9LlYcf0FPaOWryenim4+3weGnbLFEKHOzybFlefhcatR/CKLN4ljzP1IjPUEwQy\n5OZtCqtg2A3X7/U4UW9AK6mN2eUbZYc+0+gN9nnX+9y021xs9jvko/wO+ea77mbrPfcGj21atQaf\nS15oTNmyoRidP0KliCyIYpC+HkDaKeH0rUx7eEBlcn4KsydmYvA6md6k9EAO1LL7fBJ/PDGfO/40\nBU+nsvhZ/Q75mu0HL0izr+i60G4rbVIxRwKCegM4ONDpNNzxyDzOvnASQ4YnkZRq5YijD77C98GC\nKWQNzSqWqc4+wRt0NgM15WaLnlPOHcs1f58TDEoMzU8JHptfkMYl1yoZ4MGu4eTaRuINcZ5NvViv\nnQ3y3KNPkIPuolYJhLjbDw5zJCpKj0/w4nOGOOT+pICmM4p3FnyrGl/XIGfSc6daSR2jzHm3P3Qy\n46dGdqR7gtS4RE76Sx7TLkwg1hyZFWSxyHOi0+Hlq+2LePqrd3l97Yf7/Jm/NtqbnUhI5GQcXLVy\ne7W8HrpF5X7Ta0VOmZnLhSf1XdvS/gatRkSrEXC6vdidHh55ezXFFbJg24IVZSxeV0llnfLchTrh\noQK+w7LjuOLMsftUQ3/hSXKf+N9KEDpUA+YPd30dtEcCmjHevQQefD6JwjK1ALZWI/DU347eo0MO\nckAvzmokJz2GkTl9yyIZwL6j34XzHbZ6TB45+un1ivh8AoLgQysK2Lwa3vxqG/UhIlNHT8wM3lAe\nv4BUvV2+kSOJTA2g/yAjSZ3B9Hh8pCeaKa+RJ/bickWcpdOuZDM1EVTQ9DoPE+aU0PRaCR6bnQbt\n0eQOrkCj8dLYlk7N4sVknvm7Xl9j09Z1lFS+iyk6i/xpf93jWEnyUbr5fdoaC5Es6dTUJGEQJJCU\nxUfnNpK/bi42cwt1GTK9Mjm6b5kcrR3qaOv4fz+JMWXvQh0agx6d5AFJIsqoxe708saXWxEFmGHb\nTmC5vazsUx54LRZRoyHarCfL38mgdcNG1flqFywAIOfSP6E1dU/lHfvEI6y76loARtx6M5Lko/rz\nL1RjTM21RBnisTsVAz4+xohRr+WS8s+J9ioGwJ+yOnlss8gxk7I5YkwaO559nl9u/5ah115N8jGz\ngxnyb1eWc87cYaQm9F/hR61GxBNigNQ02lT7B2jrBx8BERqzxcAVNx2NzyfhcXvJ6+etzvYXUXZZ\nrTo1JjGsK0ReSrhDaTLruerW2dRUtpLoZ6skplhoqO3Asl4OYqT5fXZtUu/YKu4W2RDVxSqZtsRZ\nM2hYvBSv3Q6xPc827ysEQUDSeZFcIWVzIZmmXRub4AT5tU/ysaxwPUmMICHBSkZyIjWbSgDQ9EHL\nn6l5Y/a432ySbaGq5nq2/tBAbtkRbGgsg8gtzvcLkk/C6/Oh3UMLsP2Fu1PCo3ORHpOy98F9iKLH\nnwLAplFsy94KlB2qMOg0OF1e1hXWsXjdbixROrKSrTzzv/XBMQ9dPYOROQnB7O/Zc4Yye2JWd6fs\nFbT+8oBA67RDHV3X8n++pA6+/2neSM6Y3T3rorKunZYOJ/mD48lJj+bbleU8eNWMAdXyQxj9LkPe\n2ayIwCRlWPAgIYqg0Uh4vSIN/v7BU7OjSHY24Q15ON3N8iK9rspJRpKFWOtAhrw/w9Ml0un2+lRR\nwV0htXktHc4gbT1ShhxAp/cieTw4W/z1hdlVDB1STltiEo7SclrWb+j1NRa++DgAtraKvY7dsfYV\nmmvWY44dRGNCATqHGasxsqFp6owNKrBbovqu7rSmsZPXv9hCjFtx1EzZPVsQNSYTAmASPMwYq6gd\njxgcj1ijtMbQSx4MtZXUNdsZlZuAIAgqQba1V12Lx2anZeNmTIMHkR4h46363CiFFRE7YVxYrbnW\nasVWUsrINDOE0EATY6JIiotSOeMAus/e4eGhDaSv/4HCRx6n1p+pKn7qGZwNjWhXLUHw0zUb99Db\nvD8gKS4KrUYkrxs6a0LMQNDx14YoCpx4xhhVRvi3hPMunaJ6n2yNZ8Yx6raVxqjILJ+EJAujxofM\nJaPVGc2YRrkETdL0jmYeCL5rLUowLTBveENE1g449F4Ej+KQafWKQx6aOf9+8y8k7ZDbPKYmxzF1\n0lDiEk2c9vuxB+UyrWZ5jjVVpJJeNhqAhLpBPTrWbnN1224yEl596UcevP1rKkqb9j54H+FziGBw\nY9AePIEvSZLwORwgiqyJUVp26g4Xh1yvwen2UlotM+WqGjq5zS8iFsDOStlmq/arzw9Oi+6zFpAB\nh/yTHw+eTsSBRCBD/uzNkcUbF63pvk2hJEk89b7cTerIgnSuOHMsHz90CsP2oRRgAP0H/c4hJ+TZ\nNSQY8fpCFjhBy4j2Eq5rWsjsH17g4oov8NRUB/e7mprwIdAi6TiyIO2Q6QV7uCLMIff4cLu7pyMt\n/EUO1mj2sgjb2uVFQRR9CAKkZrRj08XQunnLHo+LBP1JigFp76jF7Yzc0sbnddPWWARA3viL6ej0\nIkoaonw2RtYuweDpBL3a6NR4ZIKKTt83C3pDcyefXHs3Oe3lTGyRa6m11sgUxkjQRcsZsNdvnEFy\nSOlAmq2O1k2bVWPNXtmRHZWbgK28nI033hLcZ6+spOarr5HcbqzDh+31czUhAQmNwUD0iOFkn/97\nMs85i0F//AO62BgcNTUc+90zzG1YRW5nJcM7ytC89jRF11wdPHbyG6+SeuLxADR98zWVH34cbI0U\nwOpLLqP9f+8yrk3+rfp7L3JLWz2zO7dy7+9ySPRnJbUakct/J2fE+pNK/Ibier5eXhLs/T6A3waG\n5qeQkKQ4vhKoxFSBHreuGTMxU/U+oDqeGhNeC7wnOBsaEA0GFVU9MI9Uf/kNlR9+3Kvz7StEvYTo\n0eLxzyOhgQmxxcTdD71HY1sry79XFOgHpSdhshi45rY5jJ2871T13iDaHJkF1OnY87NaWdbII3cu\n4N6bvsDdQ4Xt3UUd+DwS7735S6+vsyew21yIPg2agzz1BcqvdMNH4ulCWT8cYNBrcbo8QYd8fVE9\nOypaVGMC3VDqmuWgWKgd0Vdoajs0xFgBymragpovXdHqrxtPiovi/iumBwMOR4xJY1RuAqXV8rGl\n1W3UhZQAfLeynFNvnE+Rn0E6d8rBmUMGcODR72aSVruS2ZMEEW+ICJbXp+HkumUYm2rw+mulPG2K\ng+RsbKRTY0QSRKaN3oP42wD6BYZkyFm/gOp1WXUbLRF6Mk4YLlNB3/xqG9B9hhygPCaf+jq5j7lG\nIzv3mWm1NJnScHfpbb03hLYMA9i6/FGK174ccazLKQcBEtInodWZsLXJmXGjo4209p3MKP0fGpM6\n2KB3ykaSbj/UR0NRtGIDBe07Oat6EUNtcnR1/L+f6PHx2mj5mdr98SfErVlEhl2u4Z+87N2wsUa/\n8OIwsZ1111yPrVzNIGjbJgcEzDk5e/1cjVH+PfXxMnVf0GjIOvdsBv3hPDLPOiMoTAeyaNs51T/w\nu5qfcBQX4m6Vv/fkY45GHxtD2ryTI35G7AS1AFe2vya9v/cin1a2lImVK9n+4COIyPfPtNGpJPnb\na4VqaPya2F7WxAPPfM/S1z7inXcX/9qXM4A+xlkXTgq+dvjLh0aOVdrj2Hr4HCWlWLn+rmOZdlQu\ng/MUJzzB0nOKuau5GUdVNT6neq3QmuRnou677yl76x2cjUqGtmPXLtxtkYOp+wONQUBAoNlft+7t\n8jwKdWb+/cKXCBVy9j49x0pcXGSxyQOJ+BgrBnO4ubelrKTbY1wuN68+owQ0V//c/dhQeEX5/uhs\nPzCOU0OzPOfrTAc34eJzyEHoUGccOGyYmAHKesAhj4SA4xhwQhMitOHbV/RUUG5vWLphN6/M3xwm\nutjX8PkkbnxqMRfds5BlG6vC9nfa3Gg1AgadhjF5ibx+13E8e/Mx/P2iKUzzM4k+/Wkn1zy6iEvu\n/Rav18fCX8qCmfEAAi1dB3Doo9855LU2pS1Hu8uHOyRD7vVq0Eo+7KMmYxst998NKKo66+tx1tbR\nrjVhNekHqBuHAI4sSOPBq2bwwm1z0GlFft5UTXmNerI/anxmMOoagBihhhygucVKcdJUdhXLzqgo\nysaR1WrDkZZI44YNtBfvWQTL63QGJ+rOXeEGiL29GqmLOq3L0UrxmpcAMJhkI9PeJi8exgbFmTTX\nqgU4kqrlOkpLdPiCbquopGPHzrDt3cFtd7BliVLLFeduJ3HmdPRxPX8OApTP2oXfYfn5W/64+xvM\nHiW6m/fXq0g5Qc5AR/lkY8v+/huqcwj+jFVnqcxmiErfe2BMEEWmvPkq4//zdMT93akmZ55zFkd+\n/AETnn+G3MsuBcCYnKTKuAcw8q7bVe9HRcu/4fqi+rCx/Ql6v2K/o6qK43Jlevqs8Zkh9XS/vkP+\n4Q/F3PT0En5X8yMn1f1M1vrv937QAA4ppKRHc9rvxwEEFdbPunAik46UX6dl9rxu0Rpj5LhTR5Ed\n0gXFGrv30gt7VRWFjz3JqovkZ13XZW4zpqnp8Ksv/jPN69bjsdnYcP1NrPzjn9j+8GM9vs6eQGeU\nn8OKygZsHU7cfv0ar0ZxHsQaOdCZOl7LpVcfHRR+O5jQaERuvOtEDFb5etNGy2tO0c7d3R7z1qff\nQ4j9VVhdutfPsdtcaPyiuqJPE2QO9CVq6+R1VG85uOZroCzL3cUhv+z0Pdfv/1Zg0GvodHhUYmRd\n8c4322ntcLKhuB6TUUt8BNtmX2FzKM/U/gi7PfTmaj79aSdVDZ2021w8/f46Nu9s4MVPN/H4u2v6\nzFG3OT04/C3NHnxjFVc+/D3/eOln3B65NLOwvBlzlC7I5I2xGIJ6PIEk1Kc/KTbgGbd8zr8/WI/V\npOf0o4YQZzVwwYkjGMBvB/1O1C0UTR1uYiRloZb8NbeixYKgkV97PR48NhurL70cgA6tiVNn5R78\nix1AryEIQlChe1ROAuuLZedo+KC4oHpkSoJJJVzV0u7E2MWgMUVn0dFajSjKE2lHRSNDctoRRQmf\nJCAKEtZcCddXtWy88Ramf/ZRxOupX7yUoseeIG7yJEbecRtNa9ZABH/SaWvEaFZ66bbWb8Vll7Mx\nMYnyBOnq9AEieo+SZdd6w+vJBVEgJUFP89p1xPmzuJLPx7qrrw2Oyf3Ln0k76YSI1xzAN/c/x8gt\nS1XbovPz93hMVwQo66EY0yYHMGLGFpB8zGxMmZnUfrMAk9eBxWPDXl4eHGtMT2fQBedT+PCjuBrk\nwFpPxOSAiD3KA8i//VYqPvgIrdmk0gFImTsHgKg05UcS9XoKHn6AqvlfkHrSCWy4/kZAvtdG3nU7\nbdsLaVm3gc6SXQyaHMV3q8r53dF5wYWwv0EIaUN3wsR0jpw7kawUK5t2yN/vr+2Qe30Sb3y5FUHy\nkeGQn19tRyu7P51P/Y+LGX7T3/yOk0Trps1UvPcB+XfchiFhQNn1UMPYyVkMHZmCyawERE84fTSj\nJ2SSNbj3AfCZc2XBIpfLw/TZeRHHeLduo7x4J6asLAofflS1r+DBe1XvYwrGIBqNwUwmQM3XC6j+\n8qvg++ZVq5EkqcflbJLXi9duR2uJnNU2RGlwAl+8vo0v2AbIdolP70JjV5tXQ4cfXEXwrtBoRa66\nYS5N9R3UdjRQvbmIop/a8J7gRSOGl01VlbYCCuW4owdU4VVr1QHvj99eyzkXTd7va1ddV5VM1bUk\nHlzz1d0iZ+ZdKN/Vc7ccQ2Zy/1w7+hoGf628JIEgqORcVLjonoV4vD7OP35En/ZpnzxS0eho7XTt\nk2hzqBbCJz/uoLCsmdLqNpZu2B0UjB07NIk5+1lKsmhNBf9dUKjaVlHbQUVtB+uK6mj3M4q6CvAG\nkJViJSPJzO56JfjhkyA+2sADV80gPdHCJaeO3q9rHED/Q79zyH0eJ2iguiaRpnYnFkmpfRK8cuRV\nYzbj8dcz+bxetn66IDimXWvi1IGaikMOMSEtbxJjoxSHPN5ESryJnzfJmea1hXXMnpBOdMJw4lLG\nYDAlYorOYO2iexEF2Tlx1tsZfYRMEdLos3A7q0lNb6DVmEiMox7J50OI0J+06DGZ3t28ajUA7o6W\nsDEAtrbdKoc80Hd80MizMEXLAkZyvZ0WjRSSKfGFZwviE0xsvvFmnHV1aK0WMk4/DdNgtdjOrhde\n2qtD7tm+OWxbVFZmhJHdQxcdblgc3STTowb94TwEQQjS2qO8TsbbZQZBzqUXkzhzBqJWS3tRkXKw\nKKJP7F1taCTET5lM/BTZqHM1yfeFq6W5W2fflJ1F3tVXAMjOX5J8DXETJxA3cQKe9nY6ios5d9N7\nPJY8jyXrd3P+8f0v0uz1+tCEsjHcLrJSrFR88CEd33zLaM1wPN5ft/dtcbn8e0R5nUH5jyR7I6Wv\nycyJtVdeE3ZM4/IVpJ8SubRgAP0boc44yLXkoZnu3kCjFTn6hOHd7ne3teH+8BO6ymmKRiOxY8dg\nTFU7uFqTibSTT2T3R58EtzX9slI1xudy4WpswpC494CQx2Zjy113Yysrx5I3BEdNLfl33oY5Jyfo\n0BtNOtoI90xEkw+6lI7GWH/9bg4WqwGL1UCizczXFKH1GFhTVMiUESMpb64iPToZrcZvFnrl/7E8\nbw3ZOybS0bh3JfxNW0oBaE6oJK4xk+1bq5B8Up+wAtxuLy8/sZj6Wn8P8sy+7U6yNwQ0aJz+HuQP\nXT3jsHHGAYwhpXXDs+PY7rfR7rxkKkOzYnG7fVxy37d4vD6izXpO6+PEWJzVyLzpOXyxrISWduc+\nOeS1IfomC1YoAtKh3VuefG8dT763jjmTs1izrY5bLpzE6CFqO+bjRcX8tHY3d106NUzHRZIknvlg\nfbA96ZzJWXy/SpnFPl+yK1hqdmY3gUhBELjviukARJv1nHGL3HXm3sunk5548EteBnBw0O8o6yWN\nMkVjV2kmNS12nCEKpj6PPKnrLGZEf4a8ucVG8adKBNxtMA20OzsEodcpt2JSSEsdq0nPsVOyOXWm\nPLk/8d+1SIgMnXgpiZlTscYPQaM1otfpEfwZcptbierHxMXgIAujwY0vXZ7IXI2NYZ/ftV4cwO2N\nTM3PYPMtAAAgAElEQVRyOdTUc6+/nlofpRh5O+vlzLEY0tc71DkPYOrEJJx1cq22p72DsrfeYdu/\n7leNETSaMBpVe1ExRU88jc8tG0m+6PAMlSmzlw55N1lqR2wSlmGy46ezyln0cSk6jmY3ol5P8my5\nfltrMaso6qbsLJXoUl9AHx+HPj4OS27PFvv4yZMwDx6s2mb2Hyt2tDK2rZj/Lixk9bb+15O8zeZC\nE3L/BCiTVZ99jq+xgaGdFb96DfnKrbJew3Wn9jww4Kiu3vugARz2qP7iq7Btuphopr37Jvl/vzXi\nMZYh3feE1/lboamChhEgSRJl7/yXbfc+QEfxDnwuF21bt+FqamLD9TdRNV9pydg1QBH8rAj1zelJ\nB9eB3BNMJiMpI+QgePGuKlZu38rr967h/pu/xufvZONpF/Hondx13p9xGNtxNQtUVbSwaw9lPk27\nnXg1bgYdracttha8Il98uDG4fkmSRNHWWlzOyPXAkiTx6X/XsXyRQtXdtrGa+e+tZ/5764POeEd0\nA0MzMyKe40DB1SDbDS3ZMvPMcJioqwdgCBGfzQ/pXT1lZCpxViNJcYrddvacYZiMfV/bHKjXb9lH\nfYLtZT1X/v9+VQUtHU4VbTyA177Yyq6qVi66ZyGOLvdyZV1H0BkH+fu55cJJDPeX0a4vqmfLrkaG\nZ8fxxz30rk+IiSIhJgqdVsP8R0/lk4dP6bdMvgH0DfqdQ27wi7i53Vp8gCPUIXfLk7reag5S1psq\na0l1Kg/ZeuOgAXX1QxA6bWSH3KDTIAiCKkLZbgun+YiiFr0/DlNvGaLaLkbJVCchXjaemteuCzu+\no0jdSsNRV4fXF1kds2sNuc8jX0+o+rvgk/8frUFL7uV/lq+li0M+YVo2yQ1bI34GwNgnHiV6ZD6S\n14uniyDdxptupf7Hn2hesxYAg6MDj6A8K3ETJ6CP7x2NVBuBsg7gtcQGnymtxYw5Nwffju24a2uI\nnzZV1XooNGsVP+kANLntA1iGKM78cQ0rSXU08OWyngkWHUy0drhUGXKfU77PAkEYo8/Jis3VB8Up\nb+1w0tAS/jys2lqLTiuSF9tz47SzpLTbfZIk4aipUQlyDeDwQ2dZObs/+xyiorAOV7LoE55/Nrj2\nR0LCkdMYdfddEfeZBsnMOU9bu2p7/eIlNK1eE3xf98MiKj/4kLYtkefmivf/F3Qw84ZHbnUn6sKz\n5qkJ+88W6kuMnSwHbHd+b2fB10op0CtvfE9buw2N04AmxkN2bAY+ixM8Ii8/uYS3X1jB7nIlKL1p\nTSUrFu/i/ddWIXVqcUW3c+0RF2NNlX+ndb+UU7ZLdmZ3FNby3isreeMFdfeLAIq31bFxdSXffSF/\n93abi4/fXsP6VRVsWS+z3rwaNzUjNpEde/Accq/TibNBDkR0muTAjvYwUVcPIDQAkR3BMQy1u489\nQCzVaD+T8h8v/czrX2zB3k1gJxSSJAXXyMffXRu2P7Rv93O3HMMxk9RtYjvsamZI1+TIi59uUr1f\nuUUOUk/KT+Gff57GkQXpzBibwaPXzuKtf57A0RMzycuK5eYLJ6HpIXNEEISgbswAfrvod7+w1SM7\nYy63zu+QKxk2n0t+qPRWa3BRNu7epTq+VTdA5zgUoQ+Z7ONDeisHMucajTJxuSK0RhNELUaDX2NA\nDNkvCBii5AVUNMnnCjg2oejq8Nb/tASPR86QCw3qx0TyqReBAGU9VGzO6O9BGzcsj7QTT2DSy8+j\nCaGsj675kZPPKsBe1X22MCojHVEvn3PXCy/hc7mo+/EnlfEo+XxIkoTF3kKrIZqMM04HYPBFf+z2\nvN0hEmVd3qGOdKeecFzwdcqc2d2eL27ihF5fw8FA177sya5mtpU2HXDV1d6ipd2hypA3LFmK1+EI\nqktHeV3UNNqC9eQHCj6fxF8fW8RfHvhO5ZR32N2UVrdxlLWdonv+BchCe3tDZ0kpzsZG1X0M4PN4\n2HLX3az5y1WsvvjPKr2AARw+cNTVsf6v1+NzONBOmcSYB/5FyvHHMvreu9Ga9qzaLAgCsePGMuH5\n/zDhuX8z7qnHSZw5HWNqKslHzwKgZsFCqr74itZNm2ndspWix55k27/up/Y7WYywYbFai2P8f56m\n4NGHyLvmKozpaXg7O4Ospsl5I7GbWnEZOqnM2Rg8Jnmslrr0YrxHlwLQGt//WCEFw3LxaeW1TKpU\n7KbqzQ6+8wuEmhNk+8sUr14DX3lK/o7aWx188u46Fn62hcLNsiNithgRBIER45RgxYZtsp328yaZ\n9l1d1obP68Pn9VFdKZeGOexu3ntFKTGoq2nn7RdW4PUq87Ijqp1tE7/lT5PPwqzv+5ZaXbH1X/ez\n7LQzWXnBRbRvL0Q0GHD6u7zoDjeHPCRDnp1q5YITRnDPZUeoxgScxq5CvH2F0DX6o0U7ePajva8R\nz328kTNu+Zz5S5RM919+pwjx5abLDvmZs/PITLZy/XkTeOWOY/nDCSPQakQ6uzjkzi7t/5ZuqMLr\n9bG9rIkvl5Xw5tdyN6A/nz6aiSPUAbtYq4Ebzp/IE9cdRXLcgb9/B3Bood/VkJs9RsCLx6PFh0Rd\nZxRer4BGI+HyB7aN0VYE/4Ovt8uq3PNTZrDDnIkkHF6T5G8FoQ55jNkQtj2gOgmRe0eLohYBDzqf\nHVHV11tAbzDgBZwpcgbYaw/P9HXdVv72u2jGx6AjAaHciy8OcPkQojT4vGqH3OOWHXeNVjYWPV4P\nljaZ0hWbL1N5DUlJqgy56PMiCAINi5cAMOK2m2VRN0Hg57N+L5/PYMA8JJeW9RtoWLIM0WCk7ju1\ngrWnvR1XQyM6r5u26DgGXXA+GWecjq4X/ccD0Ib0qs2+7DLKX3xRvlaDmpaZOHMmO599AYCYMd0L\ni5iH9E9xRVGnI+X4Y2lZvwFnbR1Wj41Ou5ul66uYOf7g0iD3hMZWhypD3vjzCpUuQIJe3teTLMH+\nYHd9R7D3a2l1G4mxUXi9Pl7+TM4MTFqlFkkc9tjjPPn4Z7RKes6r+pao089lwp/OAaDwsSdpWLyE\n1RdfBsDk118OdgJoLyyidaOSbdjyj3s48tMPBxhPhwkkn4+Gpcto3ajoYYjDhiJoNORdeXmvzhUV\norg+/Ma/AUorxs5dJZTseiXsmB3/fhZzbg6tmzajT4jH5WdpRKWnIYgi1qF5eDo6KH3tDZrXrCPt\npBPQaXTEzGljXfUWBJ+IVDoat87JeVPmMSxzE9OzJ/H1oMXkpx2/12v2dHZSv3gpqcfN3SMLoK9g\nMhm57u/H8vQ9i8L2bf6pHhBJSpXXkbg4M81dxrjdXtav6lrhDzHD5XlpSt4YPhv3OCPWH8OGRbV0\nVK+golQpDdu4toL578lBjLnz8tmwulJ1nucf+RGAjuh62mMaSKvIpyF1FxeOO4ujc9SOYHdwtbQi\nuV0YkpL2PrgLvE4nzf6goc/lwudyYc7JweMXBjvcMpahGXKjXsO5x4brP7z1z+PxHcC49lHjM3nu\nIyXwVVW/91a2Xy8vBeClT+V5ZVJ+CidPz+GFT+S15pJTRzEsO5ZjpyraPclxJn5/7HC+XVkexsh0\n+OvNpxekE23W8/XPpZx+8+eqMYkxxoFa7wH0Gv3OIY+LbcfttiJJAoM7KykzpbLw++no9G4SbHIE\nNjoxhsqA4+2UFVUdogGXqOexa2f9Wpc+gP2APiTaHB1SlxdYBLQakXkzcvhiaUlYhBJAozXi9TiJ\n0tjw6ZQsiiCA0WCiE8Av+lb+7nskzpqhUuf22h10hRAjR3k3S63kvtSMkKjHcFYG9tpqCFmLHLZ6\nRI0enUF2+O0eB4JXjrqaEpW6QX1iIgQuXRDoLFMUyhOmTQ2+Lnj0IXQx8rmyf38ObVu30b5te5gz\nDuBua6ezTBYnabMkIGg0++SMd4UupKZfa1C3LtGaohh9792yWnEEw3HcU4/hbmlFY+i//Vnzrrwc\nW3kF6665jplNG1gfPYz6CJTsXxMNrXbSJR+YzGCTgz6VH3wY3K/paMXgdeI6AK2FQlFcoZjigWzB\n619u5ftVFSQ6lX2i0UjK3DkYU5L5v1v/yCNvr+bhqBRumajc21FdWlO1btpM0qyZALhbwkUU3a2t\n+JwuGpYtJ+O0Uw6KozKAXwc7/vN82BwnJPRd3bVpUDaiXo/P1X3P9O33P4Tk9ZJ9/nkIWi2m7EyV\nAGjizBmUv/NfKt7/H0mzZqC1WLjlqCvw+Dw02Jq52f0wHp0Ls/4cZg2W7/t5Bd2ziFSf/dCjtG7Y\niCAKpB5/3N4P6APExlhIGAeNgY6Zw5rw7YjGK3hwxLRTMGYaAHHWaJqRg3I+wYsoaVjyXTGbN6gd\n8sbkMmYOl5lROXFZ3Dfvb7y1Xj75zu3q2vOAMw7w3Rfbur3GyuEbsBiNbE/4jiOHTmDe8Dk9/v+2\n3/8g7YVFDL/pbyTOmN7j4yRJwtUUXjaT8bvT8JTLHqfuMHPIjfpQhzyy62AxRdZU6CuYo3RoNWKw\nu4i3B97/oFQrZTVKmUqsxYAgCFxw4gjaOl1YTHpOPDIn4rFpCSY2FDdQ12QjOV7OaAcC4EaDhimj\nUvn659Kw486aM6yX/9kABtAPHXIAnc5LnKaeOdXfsy5+JJvjJ5PuNKC3y3VIsYmxOD0SBsDopwtf\ncGoBSeMLGJwWuQ52AP0bodHmUIc81DHUa+UFwdWNQw4SVpObTm0oXUrEaIyiExBC1HBLXn6NkXf+\nPfg+UtZcTDYgeSW+ytGgyUzgX9ZZNLEed2trcIzb2Ya9vRoEMZjJc3gUwRFrvBIl1ZuM4F8XnBoj\nG264GQBDslot3DpUUd4U9XqSjppFuz+7E1MwhtaNmzAkJ+Osq8NWXh40GOv0vW891D0EbKIBk8+J\nThvuBO0xM95FRK2/Qh9i7M9uXIPbO/5XvJpwNDbZyETCkJWFUa+ldVO4kv7sxrW43FPCtre0O/H6\nfGEKsPuC4nLFUe50yA55oOZ+ZEcpAMNu/BtJMxWDd1h2HGcdM5Rn/rch2IsVQGtVZw2KHnsSY1oa\n1qF5QYfcOnw47YVyy5jWjZsoeuxJAJpXr2HM/f/a7/9nAP0TXbUF0k8/lSb9ng38b38pIy3RHKaC\nHAlak4kj/vff4HtPRyd1PyzC63RS/va7ADjr5fKPpKNmIurCabeGhHjST51H5Ycf88sf/o+R/7iD\nuAnj0Wl0JJsTyM8ZRLKl97XiXqeT1g2yg9q6ectBc8gBcnKTaFwvO8tzp0+g6ahaDFoDadYCRiXL\njoXJYASceLROGlNLSakcztLvFN2VwrGL0Hi1OA2dHJ1zlXLuuCx2D36L5N1DcZjasLYmY49qI8qu\n2Gl2UxtRNvm9S2+nNms7WTvlubhk+C9cPu18RiUP439bvuSM/D13GwmF5PXSXigL+BU9/hTW4cOD\nHTf2hJoFCyn/7/vBQGHCEdNo/HmF//VUPCVygOGwqyEPccj1v6Kg3ZVnFvD0B/JvEFrO0B26aqwE\nHOtz53bf4SGAgrwkNhQ3cMl934btS0swU5Cn3E+D06IprZYZu7P6EdNuAIcO+u2MEtco97Mc21JI\nnc/FNXfORd8pO+R6qwWfP0Nu9sqZzeTU+AFn/BBG6LRqjZAhB2URiFRDrtHJdedxMSI6XQiFVwBT\nlJ+KrYGU448FwFGrVtUOqKwLVi2WOf7+3VoByekjqSIfr2AMKntLIf3Et6/8j/8fUK6p0yk797G2\nanQhNY/TQtqAWJ3NSH5xrsyzzwz7f0IRGiwYdv21FDzyICPvuh2Q6x2rtsiGUZNx/x3yjN+dBkDM\nmFHY/bVyGme4Av1vARqTUsOV11mB23VgM829RXOTvLgbzCayzjsn4hij1xXxebj75Z+56J6FYfVv\n+4LKEFpgp91NSVWrbORIEhPdFQgGA/FTJoUdZzLIDk0opd5rCw98lb7+JgCuZtkhH/TH88m59E8A\nQWccoG3LVlzNXYmzA/itwOdSKyebB+1ZGKqkqpWnP1jPbc9GFgjbG7QWM+mnziPr7DOZ8tbrDLvh\nOix5Q0g5/riIzngAGb87Pfh669334vSrb2tEDX8/6hounXher6+lc6eihdOweCm28vI9jO5bHD9t\nMu3R9bh1DgqGDGHeiLkcmzeT0SnDg0HmpFwj1Vnb2DlqGZbYcObT1EFjiUuO4uajLw8rMTnrxJmU\nTV6GNLqepqRyakZtwG6Sg9otCbvZOXopNrP87BcV/MigkXGU561l68QFdMY0MmvwVBJMcVw++YKw\nYEfr5i2s/vPlEYOVDn+dP8jO+epL/8Ky085k5/Mv0rR6Dc76BlrWbwj7rptWrsbd3ELVZzINOXHG\nkYhGY5BhEXDwDmfKeqimz8GG0aDkEUur29iyK7xrTigcXdb1oVmxPf6sgqHdB3BOmp6DXqfhhvMn\n8NdzxnHNOeMAmDoqFesBZgoM4LeJfpkhBxDtcipR9Hk5pXYpHulkNC4nXlGDqNfjdcmGpuh35UzR\nAwIJhzICLSGGZcei1Yg8d8sx7KhoUWX4AgJv3VHWAWLjNTQ1KA6Az+vGYpIp3AJe8q68nJZ1G8Io\n6oH3hguz8eBk/IXPsH3pk3R49CTW5JJYk4t2cpT/nP7zSx5c9nBaW4ff6dBKbjRRyvVnzJ7O7KfO\nxqGzYHIrFCpj8p7r2+InTaDsjbeImzwRfXwchc1eKkqbCWiDOrdsxCtoOGJm91nrnmLwRReSdd65\naAwGdpoySGhtw5SRvt/n7Y8QBIGCRx9i4423YPS5MRauhz20ITnYaG+S7xG92YQ+Vh1sSTn+WGoX\nfEuGow5bFwqu2+NjR6Vs8K7cWsPEESkq1sne0NzuYOWWWuZMzkKrEWlsVZ6VN7/aFnSwoz2dGDpa\niD9iWsTyhCijvLw8//FGtpY0MiQjlqqtHXTlIQSooQGHXB8fHyawFzdxAs1r1rL70/nETRhPTMGY\nw7623F5djaejU8WoOZThc7rQJyaScuwc2jZvIaaggIqy0ohjnW4v9762MuK+fYEu2krSrJnBrOie\noLWYmfz6y6y66FJAbuMX6Gvubm2l5NXXGXThBRgS9t7rPICA82hISsRZ34C9ugZT9v4pVbds3IR5\n8ODuxTr90Gg0XH/tydR3NmKJimxHZUSn0phWwhFZE0lwplG6WR0EPKvgRNLjkiMee2zezP9n7zzD\nmzizNnyry7Lce8UNMBgwYAi9BEJLIG1Tyab3kJ7NbsqmbjY9X3ohhE3vjRACKQQIvZlqwMYY9967\nrPr9GGkkWa7BgCFzXxcX0mhmNJJHM+95zznPw6ykKRyuOsoS3Wc8Nu5OXrR8QEuJH/oRBr6c8xaX\nfiFk1R+feQ+h+iD+VfcM5yfO4pKUBZ0ed0tBIRkPC4r6h19+jYF334H/CKdYV2uh0JMuUyiwWZxj\nhrJVv1C26hfn59fpGPvBe+I1zNzo3pesHziQse8vAfs1yWwPyP/Kom49VQc/HgxPDGbkwBD2ZAtV\nHUt+2M8r90x3W6e1zcwXv2Zx4ZlJtBmd48G4CF/GDOnYGaEjBsUEcPnswZgtVrRqJdsPlpGVX8t9\nV6SJQff0NKdI7Mt3TyM+UkoMSvw5+m1ArjQ7B5mDmgvZtK8YH3MzZq2Q7bS1umftdD7eSJy6DE8K\n5rnbJ4tVDtGhPkSHug8kHP1JjS1GdmVVsHZnIXdfNgqFQi4KqukDtChdSsoDw0eh1go3WsfkjcJL\nKwr2OKjetBm8nTccm8yMXKfBUuu86SrsgxVHhtzWVEdHtyVHQK6wmlD7Oy01ZDIZ2sAA5DU1IJeD\n1UrQhPH4pY7o8rvRxcYy4ZsvxKzNQ/aM0OjgM5hdtR25oZVyTRATR/XOd7wzHAOTzYHDqdL484+F\nl/XJfvsjPgOT8L34chq+/hxDVTVLl2ewcE4yXppjuzSaW1op+uprwufNRRvW8UC1OxrrhIBcofPC\nKyqSwf/6B63FJURfeD4NmVmU//IbPpZWdq1cx3dyBcMSg9GqFSx6wSnS5LB5+fGl83r8vlc9LgxW\n3/h6Dw9dM5bymhYigrwprRb62L/+XajIuGWsD+SDLm5Ah/uJDfNBJhPGset3F7N+dzHYAkidfT7D\nJ6finzqC9FvvwFBSwpE33sZYJZQLq/z9BL/5kGCM9hLiyHPnU5u+i5JlyylZtpyEm28k4uyel6/2\nR9qqq1EHBv6piYXa9F0cfPK/AEz8/mu3PufuMNbVg80qiukdb1pLy2g4cJDAcWO71LewGAyofPTE\nXuZSDdJJQF5Q1kBFjTAGkMtlVNS2nFDVYnVAAPE3XEvue+9janROruZ9+AmV69bTVlXN8P8+6bGd\nzWrFZjaL7hkO2iqE4MJnyBDaKjdgrKnBajR6rNdTKjds4vCL/wfAuE8/RKnvWmAq0j+MSP/OA5WE\nwFhenvcYYd7BbMjdyQGfLOoDS4jMFyaBddru9UIGBSfwwtx/A3DNmQv46fAabh93AzKZjMdn3kOL\nqYWhoYII6tLzX+h2f0feekd8bKyu5sAjjwPgO3QIw/77JC32gHzQfXdjbmri6OL3xMBc4e2N/8hU\narZuw9LSwtZLFhI0aQIxl1xMS5G7uJwmNMTtN2qy9y+fzKD0ZKB0aV07mdUB/j4a/nPLRBbc9wMA\nTS2eVWAfrDjAys15fLdOqLQdnhjM9LRopo7sXSm5XC5j4Zxk8fklZw3CYrGi6OTzJ/Ui+y4h0Z5+\nGZDX1+tR29wDpqKcEkZZWmkKEQZ/NpN7VkjjLWXIT3WGxnedUQi226FV1bWKgcaMMTGMGhyKQikM\nCHS+GlR2KxeN9yT8QoaI5eQK4MPd3zBK64WltVUQJZPJqE3fhbmpCc1VzoyE2dSCxdKGxeKc6FHa\nA3Kr3b7MsuVblGnOgNtBU50wISD3VrllyAFGPP8MFWvXEf23CzA3N6PU63s0IHcE4waX8t9s7xhm\nVwlZomqNP1Ehfavq+e9FM8gtaSDA//Se7NLGDqABKCmuYcMfOZjMVm65sOtJkq6wGo1su/zvABR/\n/wMpTzyKUq9H4a1zExLsCqPJgrFZCDgc51DwRKeysOtAvbGhhfftvr1zxnccHPeU9ortL3ySjsls\nZcLwCHReSj5ZlSm+pj+8hxaEHsuOCA3UMSDc2VcHgExGxZDx+KcKA29ddBSGkhLKf1stfi6FTscz\nH+6gIuVyFqkz8QoLRZ+U6Lbvo4uXEDB6JOrAQJDLkSuP/VZms1iwms0nRIywdtduDj7xFACj33kD\nhVYr/PPqvue/etsOMp9+VnzenJuHvoeOBk1HckTtit4G8n+W3Pf+R+3OdPQ/D2TEC890eL1rKSjE\n3NCAuaGhgz144lA69tdrqGtq48E3N/KfWyaeUGVjR5BrbmzEZrFQt3cfjYeFnuWGjAM0HT2KLibG\nrfw96/kXqd62g/A5s4k8bz7a0FBkCgWGciFD7jMoiar1Gzj6zhIq161nxHNP9+qYqrftwNLaQs1W\nZ/XAjutvZvRbr6M5RoG8KF9BkDHMN4jcIUJPdZtXMyqjBq2qdz3vY6JSGROVKj53BOI9xVhbK+qq\ntKfh4CEyn3tRfO4dF4dXVCRhs2ex+XzBljH1pefxiginrbpadHyo3rSF6i3bwGolIG00bZWVBE+d\n4nG+traZUasUf7kKHaVLmXpnAemJJNjfi6q6VuQdTIzklrhfRwbF+jN73LHdGx30h88ucXrSL8+s\nrTuH49pV3CZTcmS7YFGgiBLKQ5JC3Qcu8h7M0Eqc2gT7C39z1xJah8Cbo2RdrVWgVArLlBpfZDIZ\nMrkCqw2UMti2LheFlxabxSL2cLeWCur9Mh/noN5oqAObFYvFOSv81A7BKsdi73VsH4ynP/4Y6UfT\n2bxPyGCrvD3PSU1IMDGXXCSoofv69npAvOiFNeLjRpUzUDYFhff5rHXqwBDOn5bY/YqnOCqdcO6o\n7LZ0xRXdW6l0Rdkvv7o9P/DYk+y975/suuV2t9LJrqiuNzC2TgiyOwrSdC72Z0oXO73dhys91gWo\nqG2hsLyR9CPNbNxbzNLlGR0q1FbUulceOfolJyYHMW6Qc8LswgE2WjL2o09K7LLX98Grx3osK6lq\nxtBmpsVgInHRrURd6OzJVfr6YrXa2LK/lJyielYGjaNt/AxsWqFKwJW6PfvYdftd7Lz+ZgzlFZT8\n+FOPv9/2tFVVs/nCS9h6yUJaiorJeuH/jpsPuqmhkexX3xCf77rldnZccwMZ9gxfl8dZXcOR1990\nW3Z0iaeFlwNzSyu5739I5fqN2KxWCl1U+pvz8np97D3FZrGIfwtHj25TdjbNubkdrl/w+Ze92n+r\nvQz1gumJXDlvCBW1rfzrjY0UVTR2s2XfobaXpLdVVVP0zXccfOIpsUwaYO8997PlostoKSjAYjBQ\nf+CAGPCVrfqZXbfczpZLFlK7a7eoLh80YYI42daYmYXF4On+0Rk2m42s518k++XXRBEyTUgwVoOB\nul27+upjE+sfiV7tzfxBM2n2raYuuAS14vj4TndGfcZB8XFH9po1W7dRs3UbCm8d2nAh8y+TyUi6\n/VZiLrtEdHvQBAUx6N678R89Cm1kJFiF653f8GGMev0VYtrpu1itNorKG4nu48nvUwHX8UV/qA5Y\n+vAsgv29PETbahsNHMpzT+hpj7HiTULiRNDvztKqaj/MZhVaixGrbwAy/wA0BUeJMAili9YIISCP\nSE2hftVP4nZ9kSGR6N84+smrXOypxPIxe8m6Si1DJrPbkqicWUSrVY5CYSW8KBl5sGCxYmltRa5W\ni572rhQcFAaudfXOEsv8xjII0GNpa6FizTqPbQy7M7DszcAyMhEFEOjft+VLBqOZilp3UawjIckk\nVWaiSJRsNv4sarvwXmxrGReV/E5O1Dm89c1emg0m7v+7p1hZdxjKyjt9rfFwNr5Dkjt93UFlTRMp\ndgXzjlBotQx+6AGynn6WSEMVe/wGg81Gc0U12H8LwxOD2Z8jXDd/3HCUZX/kCI+37wQE8Zn26qF9\nUXIAACAASURBVNQVNS2Mr9lPfGI4n9cK2gaJwRoannkUmVJJTOx8dD56xpT9RoPNRvyN13f5OSJD\n9Hz65Dye+t82GluMFFU0UVzZxL2vrqe0qplvn51P3NVXYqyppXLdH/gMG0ZBuTOoWr2jgNU7Chg8\nIID/vvg8tLRQ/N33lP60ipy3F4vrpd+yCKxWmo8eJeHmG1Fotd1+xw4asw6z758Pis93L7pTWH74\nMGOWvNPZZr3CZrGIlm3lq3/HVFeHNiIcg30yEKAp+wiGsjK04eEd7qN01c/kLv0Am8lEwk03EDJt\nCtuuuJrGQ5mU/fIr4XNmU71tO5lPPyfaPB157XUhCARKV6wU1esBcpf8j0H33uXh0Vy1aTNtVdWE\nnTUDpXfvq2PaKqvYfec9WFpa8E6IF8uxQQhShz76MAFpo8VlzXn5VG8VjtEhKtkdrQYhIPfSKJk3\nURBXWro8g+UbjnLb31K72bpvcAR1lev+cPuMKn9/zE1N2MzCMWa9+DLGmlrM9tL2gLFjaMnLo62y\nCpvZLFZKAGiCgxjxwrMUffMtVRs20XDgINrwcKo2b6Fy3Xosra1ogoOIuewSAka7qzHU7d4jvqeD\ngffcScZDj9JS4OkX/mfRq71Zct5zyGVyFHIFZU2VyGUnNrfTkCGIuI14/hlkKiWNmYcJnzcHm8VC\n1fqNHHnzbWRyOckP/NPNKjFs1lke+wqZNoWQaVNozs1jz933AeAzuOP7qclixWi24u/710sA9TcR\nO7lchkal8BAu/d+PBzzWdbVsk5Dor/S7KNZoUpFrs3KmxYAiIAK0XtiAuNZSAIZOEW7kgeM9rX4k\nTm98dCrUKgXV9c6g1CGw4siQ19SsRy4XMmlKpTMgt1jlyOX2mVSNsNxiMKDy8/MQcXHFEZCblUbC\nj4zEmnYEmUZO9quvo74sGnmQfV9HhH0orDAyy8T+CNDqj91yypWyamf28pxJ8fyyNY/lPiPRew1m\n/lApIP+z6P2Fv3F4mzCrbs1LZ2d2kJAx72VAXvD5l5SuWAnAkthzubFgudvrmd+sYMyDSd1OINbu\n3CVenEPPnN7hOkov4Zwf0ZhDpj4OH3Mz8yq3sjJ0Aoe9Y5g/KkgMyDO37mdexR7yvcI5qI/H19xM\nVb1n9q2ivI7pNbuhBhIiZnLUO4qF+mKM1YKS7X+uD8YvZSg7rn0bXWwMvsndW8f4eqt5/g5BLOui\nB1e4qeIWVzYRE+bDwLvvwPus2dz94SEML63z2EdWfi0ZBQ2kJYcRNGkipT+tcl/BntmqWLMOmVJJ\n0qJbuz0uB+XtvK8dKL3/XBbMajLRVlGJV1QkVpOJvA8+onTFSrzj4wmbfRb5H34MQNKiW8l+9XXR\nagsg/eZFDHv6P6h8fNDFOsWCylf/ztF3lgCgT0ok/Oy5yGQy4q69mrz3PyTnrcXkvOWcoMh64f/w\nHZZC3R6n17MjGB94z11kv/wqDQcPsfOGW4i94nJiLrkIm8VCyYqfyPvfhwDk/e8Dzvjof6j8PNty\nOsPU0MDhV17DYnetaD4qZMR1A2JpyRcy5QWff+kWkO+5614ABv/zPoInTezR+7SIXsDCr+SssTEs\nXZ5BTQfn9PFCHRiITKEQg/H4G67FOyEeTUgI2a++QUOGEBg4PreD0DOno40IY+8997stjzhnHgDe\ncQMImTqFqg2bRJ0AV4zV1eR98BFKb2+KvluGTAbxN14vqoI7GHz/veiTkpBrNH1e7aGQCwHOFakX\n9Ol+e0pjdg4ylQrvxATkSqXogCJTKgmdMZ3A8eOwNDf3yObMgXd8HGd88gENBzPx6WTS1GSvyPur\neZBD/8iKt0ellItJGQd5JZ5tL5pOfNMlJPoT/e6qovEPoNlqQI4Nlb8/cnu5ZoCpEbNSTXS80IP5\nV+vfkRD+5sF+WrdAornVxJ7DFWJADqDzEl5XqZ3LLFYZCrlwMzXZM+cOOzFTQwN0YuPR2CRkiJRm\nNX41kZhMKmxB9oG6UoatyYxhcS6mXyrYE5tC1ugLyImZCkD4iL4Nkkvs9lPTRkVzzTlD0XupMcrV\n1Kj9Tmjv5OmGzt9daMpkaGNhya9cXLqG79Zmd7KVJ4ayMgq/+AqbWst2/6FUq/x4P+Yc933v3MKR\n196kOS+PXV+u4MjGnR77sdlsmNcIAafm7oc6FYXzinIK1FxS+jvzKoUy1bMrtnB37lfIXvkPj45T\nM8argQGF+0htOMK55Rv5W9labsv/jsbDRzz2mZ2e6bbPGaFG5Pt2iMta8gsoWbESq9HY6URBV7Qf\nyN72/Bo+/yUTmUxGtVcQBpvz9UevH+e27tYMIZvs2k8u68CeqvzX1T06FpvVirmllcr1G1F465j4\n3VdumbHm3Fyspt7bxhV9/S27bruD8t/XULN9pzhB05yby9HFQlCtDg7Gd1gK4fM8hekyHnqEzOed\nPbAVa9Zx5PW3xOeR5y4Q73+OIK4jdlx9PZbWVgLSRrkF965+8QAFn36O1WRi7/0PiMG4g/be4F1R\nf+Ag26+8VgxEXUladCtJdwpK2k3Zwnlns1hoLS0V1/EdMqTH7/XHLqE03CEC6u2lQqmQUXSM7Sa9\nQaZQiGXrAN7x8filpKANDSX++msZcPWVBI5zJg7CZp1FwNg0AsaMRp+QwMhXXmLcpx+h1OvRhIa6\nVZt4JyQgUypBLnfbR5BdR8JQWsbhl1+lZus2qrdsY+d1N1G3Zy8ypZK0xW8y7OknCZ48CYVGg25A\nLK3FJVjbuTGcqthsNlqLi/GKjOh0YlOp8+pVMO5A5eND0LixnY4vHeXRJ9OH+2TR3zLkIHjBN7ea\nqG9qo6BMCMRlMvDSKBjuUv0lZcglTgX63bRRW24JPmZhRl7t74+xzYQFwW/cpHUPOvxSR1C/dx8j\nX3npJBypxMkgJMCLvdnOjNI73wvaAvdfEo2juFKrEQYeKhfhK4tFgY/OQGJ8Ac0IF2eH1ZmpvgGb\nvuMeuJYW99JXk1mJQm9m5GsvcyjrXWx1TWC2UeqTSLV6LDQIpVSTZiYybHzf2hGVVAkq11NGRqLV\nKNHrVNQ1Cf3sPt4ntofvdKJ9j3ZAnTNIeP/HA1x4Zs8EhxoOCq0QNWecxZoyQUCpXBPEkthzsSAn\noaWE2VXbqfxjPZV/rAegFYgb9yVKlfNSXL15K9rKYrJ847hi8shO308TFMiEb75gy0Udq+BbDQaM\nn77HWUCWt7PPe2CzEMyYD+4FpmOxWHnjw42ERoZ49BWfH2agZHMlmtBQ2ioqKPj0cwBUfn4dln92\nx61/G8ELn6S7Lfvs1yw27y/l3CnuvaBpye6qzz9vyeO2v41AodEgV6uxGo0EjkkT+2UBAsedQc22\n7Ww6728EjE0j6fZFtOTl4Z0Qj8rXaUdjKC8n45HHUep9sBoMhEybikyhYOhj/6bg08/FDHxrcQkF\nn39JzdZtjHr95S6tqGxWwZu9MUsQ9sp5a7FHCTEI963kB/6JTCYj6oLzCDxjLIayMg499Yy4Tmth\nEVazGZlCQfarr4vLR73+Ml4xzuBarlKhT0qk6UhOp8cVOnMGQRPGY6ytE4W9JnzzBTXbtpP96huC\nCOHCq8SAzTsxgeDJk8j/8GPyP/kcr+ho0dar6LtltBYXEzFvrjgxYigvx2a1UbPdOXEz5N8PEjh2\nDLW7dmOsqcFn8CB8Bg/iyGtC//um89x7c2VKJerAnqm+W602svJrSYz2Iz5SGCvIZDJiwnzILWmg\nqdWE3uvEXA81IcG02S3LXK8j+oR49Anx1O7aTc227SCXk3S7e9WGd3wcAGmL38JmtbgFgZrgIEa/\n9RpKbz1KvTetJSXYzGZ0sbFkPvs81Vu2YSgtQ6ZUup1j4XNnow0Pd2t78BuWQtPhbGp2prsJQ56q\nGGtqsBoMbhOSJ+y9/6KWZ9BPA3J71v7vj/0MwJ2XjKTFYMZbq3L7G0kBucSpQL8LyINK8om3CjdZ\nTWAAlnpnP6FN5W4BkvLEo2CznRClWIn+QVK0v1tA7uBQoZEx9vG2n5+QJXHrIbcI50jyoDwqjgzG\nF6H0z1BWRtX6DbQNCKXjAnMZNoUFmV3czWBQo/duxSs6AtlhK5qgEIwUcjDM6V97033TCA3v2vu1\nOwxGM/mlDXzw00HmT05g0ohIdmUKA7+oUGFias74OJYuF3rpvLVSQP5naZ8NiWxzllTPrNpJc+s5\neHczwG/OzaN2124ANta4X6eq1YKWwC61r6iK70rh/sPEjxb8z61mMzkffIwFGfXjZqHpJhMj7yBD\n3BGDmws8lrUcPsyBXzdS9+bLjAEq1f5MNwpe4El3LOLI629S8v0yALQR4egHJlK9aQsAyQ/cj1Lf\n+/7i0clhzBk/gBaDmQ17isXleaUN/Lw1z/2zyWXMGBNDsL8XX622B7lF9STF+JO46BaKvv6W+Ouv\nxWoyUbszHW1kJAFj0oQACKjdkc6Oq68DhJLpUa+9DAiZ2YyHH6Wtsoo2u7q1I7hUenuTcNMNyFQq\nSpYtF8upAQ49/Rxp77gLqrmy69bbsZrMYnl/+2A89KyZDLzjNrdlMrkcXUw0uphoJnzzBUVff0vV\nps20FhWz99770Sc5J/ViLr24wwmB4c89TW36bkp+WI6htIzUl56nYs1agiZNpGb7DoLGj0Mml7up\nbMtVKoInT0IdHMz+fz0kBuMxl15M7MLLhPL15T/SlJ3NzusFFeph/31SLLevWL2GqAvPZ8CVV7D3\nHw9gbmhA6SNcl4Y9/SR+KSkAHn3Oibfe7Nb776A3FnZ1TW2YLVbCA93PP0dA/umqQ7SZLNx5aXvH\n+77HNQvbkW6B/8hUYv++0M0fuz2d/Y60Yc4JKa9Ip6Cha89/1IXno/b34+i7grBfwJg0j/2ETJtC\n8XfLKP7+h34fkNtsNvI//lRQRZ85w+P1kh9/Ive9/wG4VX2cKExme8n6XzAgV3RSRXgyaWxnefba\nV3sAiA33ocqltdFf33NNEQmJk0W/C8hlTUZSzUKZqFdIEFarDfFn1c6TUyaTCfUpEn8ZhsR1bN3S\n0KpCHRaIsdWprqlysS+yuqil7zM2MBkhiHJkwkwdqPRvy4kDwDdQS2OlXZG9VQvU21XYLciVagwK\nnWC2LJNx7+Oz0fscu+DLxysPsXzDUQAycqr5/vkFHMqrISZML9qbnT8tUQzI/4oldH1J2pK3sVms\n7LplkdvysfWHyC2pdxM/s1htKOQy6vbtp3TFTyj1PlT8LqjfW7x9OdTmDTL425lJfLvWWRZ+4fQk\nLEfkKHDveSt54hG0N11PxDlnU7dnL+aKcvb5DmLEuKE9OvaEm2/k6LvvCecgEDZnFi0Fheiio0U7\nsY6Iay2j7s2Xxech9mAcwH+UuzBWwOhRRJ63gJKBy1H6+uA7tOflxa7ovVTcfvFILFYb8yfH89qX\neyi2t2I4BAvnjB/AgslCtvyey4Ve47rGNn7dlk9BeQNJMf6ETp9G6PRpAAx56F/U7t6D79Ch2Mwm\nct582+N9Xft4WwoK3fq2wdNL3aHM7IqhtIyanekEdhD02CwWDzG/uOuuFkvAkx/8p0dw2h65SkXs\nwsuQq9Xkf/wpLfkF4nGHnjWT2IUdV0LIlUqCxo0lYFQqVrMZpU5H9EUXAhB13oIu39M3eTC+KUNp\nOHCQyPPPFd9DplAw7KknOfx/r9KcI2TfMx5+1G3b4u+WETR+HOaGBhQ6naDFIZejDetYlA6Ec1Ph\n7U3+hx8x8J678Bk0kJbCQrThPbMDBET/8ZAA9ylUx+TVik1C3/oVc5NFIdDjhSbYJSDvwA1BJpd7\nKHUf83uGOgNyTXAQ4XNm4xUVRWtxMf4jPQXtdAMG4BUVSdPhbBoys3qk++BKS0EB2a++waB/3CsK\n2XVF4dffUvbzryTefAOBZ3i6LHRFY2YWxd9+D+ARkBtra8VgHOj1vvsCk5Qh71c47h0OBsX6c7ig\nDh+d2k2rJNBPCsgl+j/9LiC3tVgIkglZce/gQJRmI7X21+QnwB9Won+TOiikw+XNBpOotO7ANXuo\nUjktnmqa5VhkCuozDtCUIwS9tg560crKA1HILXirfWnEhEIpo8UgXNhbGooAK2q9P/viBwAyxsyO\n7JNgHBCDcQeF5Y2YLVaGxAW5ZXSfumUiuzIriA6VesiPBW1ox33aACUrVjLoqgUodDrqDFaeePxL\nZsVrCPz9G891vcPFScKLZw5CLpfx9e/CBOO4YeF8GzaWwXU5RLW5B4RH311KxDlnY6oTguJSr2Cu\nHOIZFHZExNlziTh7LpUbNiFXqwkaJwxUbRYL+kFJNOUcpfxnwYpNOWsmw88/l92L7nLbx8+D53Pd\nBSNJX/wR/tPPRB0YSOT552IoKyf6ogvxGShkanuqgt0dCrmMofFB3H35KB5dvIXWNjN1jUL7xdzx\ncQyI8HVb/8y0aCEgL/O0tZIpFC5BshcD77kLq7ENS3MLeR985LG+ye517Sh7B09V5bCzZmIoK6dk\nmbso36H/PE3KE496BD5t1dVuzxNuuoGIc+bhM2gQ6qDALs+v9oTNPou6vfsIO2smFWvWUrdnL6Ez\npnW7nVytdvOn7ynD/vskllYDCo37trroKIY99QQVv69xC4RcKV31CyCUSofPmYWpsUksb+8ImUxG\nyJRJbn3sDkGunlJuD8jDAnVuy9tXk1zz5K88d/tkhsZ3fjzHimu2WuXn28WafYc2wjl54WuvRPAf\nmdphMA7Cdx42ZzZ5//uAhowDvQ7Is156hZa8fPI//oTkf/6j2/XLf/kVY1UVOe+826ug2WIwsP+B\nh8XneR99QuT8c6jespXiZcvF1gAQKgO8E+J79Tn6AofNqlr515sA748Z8nkT41i1OQ+A2eMGcNtF\nqfyxq5CoED3/eG0DIIgBh/gf34k5CYm+oN8F5JhsYB8XqP18sTS5DMB6YWUjcXqiVSuZPzmeFRvd\n/Wyr6lqJGbyAwzudNkUKpTMg9w9QYbZr2vg3xnIwVM7wzD/E121KOSAE7SaTgobQudgs5dgUVmae\nM4TDB8oJTdKw6xchC5a7/zMAmlCQHe1HeBGEh/asB7I7DG1m5HIZVrtPdEiAF0eL6wFIiHJXPE4d\nGELqwI4nKSSOEZUKTCa81/zAjjU/CMsGDuHSo4fgaMeb/OozAo1awQNXjcXbS8X8yQliQD4wxp/t\nPoPZ7jMYraWNNrmKCbUZTK3Zg1mlxVBeTo5dSTs0PBA/fe8md9qLdckUCsJnz6L4+x/EZcoJ49BF\nR7M7aiyjioWe330+iZxz1Vzih0UQP8GZxY2/9upevf+fIXlAIB8/MZeLH1zhSPB7ZD5BKEcG+Hbt\nEdKSw0hJCELeiepv6PSp4mObxUL+x5+CXC5aj5mbBC0Glb+fqJCtaDfZK1epiL/2amIvu4SqzVso\nW/WLKEaW99EnDEtKpGrjZtTBQZT9/ItHP6vKbnnYE4u79qh8fRn2n8cBCJ48EVNjI+o+tlB0RSaT\nodR1PGBV6ryIXHAO+sQE9j/4bwD0Awcy8M5F7L7jblELQeXra+9dPm6HKXK4UJiiD20XkHdUJfTN\nmmwevf74BeTBUyeT8/ZitJGRbvZax5OAUSNJunMRupgYdNE966P2TxVK5vM//pT8jz9FFzeA2IWX\ni5N3nWGz2WjJywdArup+ssdqMonVJ8bqGqq3bCVowvgeHWN7K9Hib78Xs+WujFn6bpeTPseT7QeF\n+79K1f+yxccbi8XW/UonGF+d85y86YLhKOQyZowR2nqevnUSG/cWc9MFIzq9V0hI9Cf69VVF4eXl\n5oNq0vS+Z1Hi9CPQ1zkxMylV6K0rrW5BH5DA8Kn/Fl+TuQTkNlub+FipsFDh4z67bkx09ujV1vmy\nOz8PmwVQ2EgcHMq8C4fjrddSVh5CY5tz8PpbwR7Ci4RBd2gPRYm6I7uoDqvVhtpeFmc2W/nWrvad\nGNVzCyKJP4/fgvMY+9H7ni9kH+p0G/XjL1Ep0zF9dDRj7NntQF8tMhl4a5WolApGJAklrgaFhr+f\nncKO0JHkeYWjNBlIv+k2bHZV7/j4nmdUu0Nhv4a6lpmPueVKvg+fxpcRM1kZNonEqOMX8HWHRqXA\n32XyoaOJCNdlD729yaOCpDOiL7qQsNlngdVKwyFBQd7cbA/I/YTPrB/YuWifwsuLsJkzSH3xOcZ/\n8Ql+w4fRnHOUbVdcTc7bizn0n6ep3ZFOybLlyNVq1PYS5p4KlHWHTKE4rsF4T/EdOkQUIYs4Zy66\n2Bi0kRGi3Zz8BEyW78+p4vcdBSxfL/ztQwPaZcg7EG5qbDZitdp46K1N3Prc7+w8VO6xzrGg1OkY\n/8UnjHzlxe5X7iNkCgVhM2fgM6hnYpNgL613qaxqycsn8+lnKfrmuy63K/r6W/FxVxWKNvtsWsXv\na92WZ734Mobyzr9zm82GubmZ6m3bRQeCkA7cG7T2UvmEm288acG4zWZj+XqhfWNK6okXlDvZ+Nur\n/1zVy082yfYWxqkjozwqZIYnBXPr31L7pV2bhERH9L8MuQsKL61bQO6wPJP4a+M6eH/gqrE88+F2\nNu8rpabBgL+3M1iWyZwXaKvZGZBPnZTOrr1DwN7eqwoIwOwtzLS2tGjZlzGIo5HZhFkGgsY5K6xV\nq7HZZFQ0+uOjEfpd9UeG4zBh03n3vlzUFYPRzDMf7GBXllCad+/CNL5ec5jc4npq7eW8cREnpizy\nr0r89deSu/R94mZMQa3zYtcVjxDy7WJiDBVdbqeYMpOjVcLfaGS7torP/3O2OBZ+5LpxtBrNBPgI\nAcy5UxN475btxLWWuW3jd4znkithM8/EZjIRMm0qe7OEoHT8iCj+qxf6ph++9owOs9Inkn9dNZb/\n+3wXF53ZuTPBtfNTeH+FYKm1dHkGk0ZE9ui4gydNpPzX1WQ8/Cjjv/oMU62QYY2++G+0FBQQPmd2\nj45R4eWFNiKc+v0ZHb7uM3gQQx55iIaMA/j0siz4VKC9m0nItKkUfv4lIHhyH0827Cnm+Y/dLQJD\n2/3tO1JSzsyvpaK2hf05QtZ28ff7GDNkVp8eW0e94/0NpV5P8r/uJ+/DjzCUCtcahU5H/qefEzrz\nTNQBnhNI9QcOiq4KAK3FxTRmHSb3/Q/xTR5M3DVXYWlrI+u5F7GazfgMHkTRV9+AXM6Y996h4JPP\nqFizjvSbbhP97FuLSzjw2BOEzZlNyNQpHHj8SQwlpW7vm7ToFgbedTuVf2zAWFVF+NzZKLy8BJeA\nkxSMA7SZLBiMFkYNCvFoqfkrEOir5YNHZ+Oj67t707EyZkgYL945hbhIKVEhcerTo4B85cqVfPrp\np2RmZtLW1kZGRscDEgfr16/n+eefp7CwkNjYWB544AEmTZrU5TYdHpxOh81FNMUnXCrNlXDO1DqI\nCBImbcqqWwj0dQ4MZTJnAYjNZhEfK5UWzkjLwGB3Sxq7dDH53wpCUAcyE2kzaojKGyZsp3N6nntp\nhCCq1ej82RianGrqgcHHVsFxuKBWDMYBwoN0KOVyrC6VYlpNv55DO+WJWHAO4fPmiPoD00dH8/Sm\nqZxdsZn1gSO5pkjwlC6efy1RK95Hdd6llEQM5n+/HcVWKgS7rhUcgJtCu1ajdPsbatVKDiZNptA/\nnjuvmch7ry5jfO1+AhMT6StkCkWHftW3XZSK0WRh/LCTP9GZkhDE0oe7DpQuPDOJlIRAsTcwv6wB\nvU6FTCb89n/bls/lswejbzdg9B2WIj7eeslC8bEuJqrbkt326AcmiT7nae++ReEXX6MbEEvxsh+I\nvuQiFBoNAWmje7XPP0NOUR3FlU1MHRV93N+rM2IuuQgQLNoCzxhzXN6j1Wjl2Y92cCCn2uM1XTtn\nCYfYZXt+31EoPq5vautwnb8CQRPGETRhHDarFZvFQvH3P1Dw6eeULF9B+Lw5ZD77ApHzzyFk2hRk\nCgWlK4RrnSrAH5vJTEPGAfb980EAGg9lEn3RhZT9/Cu16bsAqN+7DwCfgQPRBAURc9mlYhl63gcf\nEz5vDuWr19BWWUXBJ59R8MlnHsc4+u3XxWuva+sJcFKDcYDmVqF6qT8FpCea4y2S+GcYPOD4TgZK\nSJwoejS69/Pz44orrqC1tZXHHnusy3ULCwu58847eeqpp5g7dy6rVq3i9ttv56effiLSxbqjJ8i1\nWrz0elF852RfkCX6Bx4BuT0QLq1qJiXBeY64BuSdETJd8B/GHrBbLO7baF2EjvT2TIjB6FL619J3\npZqldp9x8f10aixWpyL3mWknb/D9V0EmkyFzEQMcnhRMk1LHV5GC5/b6wJEY5UpSByXzcvyl3Dd2\nMh98tBOby7kW4q/z2G9X+PjqOFgdxKPLC6jwH8JO/yG8EHz8y5TnTYg77u/R1wweEMhtfxvBW9/u\no6nVxO0vrkWrVjA4NoDfthfQYjBz12XuauZypZIRLzzLoaeeQR0YgFKvRxsZ4ebV3FOCJown5813\n0A8aiDYsjIF33Q5A1Pnn9snn6wk2m43HlmyhvslIc6uJeRNPvLgVCArisZddctz2bzCa+XhNJSU1\n7tZG/7gijcgQz8nPUYM7bvPY7TLJ2dpmobSqWbxndEdrm5mqulbWpheSkVPNM4smn/IlsDK5HJlc\nLoqiFX+3jOLvBHvD7FdfJ/vV10m87Wbq9+0HIPWFZyn6bhllK39220/d3v2CPkM7ku4UrP20YaGk\nvvwCe++5n4o1a6lYs9ZjXYDERbeg8vHFKybKzd6tv9FkD8i9dZLFqISERN/To4Dckd3evt3TQ7c9\ny5YtY9iwYcyfPx+ABQsW8MUXX/D999+zaNGibrZ2kvLEo8jtytej33qN8t9+Pyk2FxL9j/Yz1OFi\nhtw9oHUNyBNSr+LoXnfFZZtOQcg0+yy8VQjIrVb3gDwiwFmhofVSYcOG0eBSCm/tOyGf9gG5t5eK\nc6cm8n+fCRkIjVrKjp8MIoO9KalqxkenZuRFV+KtVdLUaqJNoaHNaMFidW1rUBDs37tJJTLhmgAA\nIABJREFUGkf5usP2CyA69Nh87E9n9F7C7z+7sFa0wHJkrxylye3xGTSQsR8u9fCc7y0qHx/GvLdY\n7Ms/GezNrqS+SVCofH/FQeZOiDvmz9UfWbIswyMYB6ElpCOdAbVKwf/dPZV7X1kvLpPJIK+swW29\nP3YXcdmsnrUU3PDf32hoNorPD+fXMiT+9MjI+Y9MJXTmDNGy0ZWctwSv+AFXXoEmJATfoUPFgNyR\nIMl63tk37zsshbBZM0UrQgf6hARiLr9UbG0ASLjpeloKiylb9TMpTz6Gf+qI4/Hx+pwmu+e13ksK\nyCUkJPqePh/hZ2ZmkpKS4rZs6NChZGVl9Wo/rhYempCQTj1YJf56hAd5c9/C0aLiuKNkvbRdQI5L\nQB4QNpzEkdeSs8cp1GW9dJzTG9gmZKLHz0hk1XfOQf2osU5/YoVCDhoLlrbjExiXtAvIvTRKJriU\nE7cXLZE4MQxLDKakqpn4SF8xq/z7DsEfuqbBvQQ2Mljf6+Bo3sQ42uyl45NSIzGZLNKgrwt8vIXv\nxiHuBVBdL7SWlNe0sHp7AWedEeuxXV8FrZqQYxc1MpmtPPz2JkwWK/+5aYJHmX1XOEqwdVolLQYz\nzQbzaXe+2Gw2th0oxcdLQUJ0AHuzhWvy6MGhXZYMD4wJ4OtnzuHiB38Sl7UZhclWpUKG2WITJ8C6\n43BBrVswDvDuD/t56uaJbm0opypypZKBdy7C0tpK9eYtAASkjUau1aJPFKzoIhecY18+ioAxaQSO\nHUPYrJlsvtC9MmLYU090+vuKvewSYi69GJvFgqGkBK+YGLBaib7owlOq6tEx6Xe6/dYkJCT6B30e\nWTQ3N+Pj457d8fX1JScnp0fb24YOJ+Xqy/v6sCROM6anxYiPHSXsjsFT1MBzaGko8hggyBXup3ur\nTjhP28xGZC3CugkDI1h4YyKfLdkGwLBR7mqqCi8bCqPngFDVgaBQbzhSVMeW/e7iNgq5DIVGiVwG\nVhtYLNZOtpY4nly3IAWr1cZFM52qxg5F560Z7n+zcyb3vnzYw7pOGvB1SWRwx73CDl79cneHAXlX\n2Gw27nxpHV4aJU/eNOG4ajWYzBZueno1VfZJhPdXHOSOS0b2aNumVhPrdhURGexNSkIQv20vICOn\nStQBqKhtwWiynPIVFmXVLdQ3GUmJ9eKC6UliQP7ETRO63VarVjI6ORSLxUpVXSvFlcJEZ0KUH4cL\n6mgzmd3W/31Hgb30Pw6VUoHJbCUrv4a80gaPfR8prOP3nQWcO6XvNB5ONoPuvQvjNVeBzdppG4dS\np2PoIw+Jz1V+fpjq60m87WZCZ5zZ7WSXTCZDplSii7X/LhWKUyoYB5eSden6LCEhcRzo81GHt7c3\njY2NbssaGhrQ67seRDkwTppIjskI6el9fWgSpzEKOVRW15Geng74AENYt3E7Nhv46uzBsqnSbZu6\n+hbS09PZmpNNpD2ZfvRoLnKVL1PPCUGlkrNr1y63bZRqK7UVgWytUdF2cAS6aCPDB0Xg7aO0v7c7\nNpuN3/bUMyBEw+DozgVRXvyuBAA/bwX1zUJGx7G/6cN9WbOvAbm5rsP3kDj+TB4IZQVZlAmJcaqr\nhMmfQ3k1AMwd7UdyjBd+ikrS0zsum+4vnOrnkNVmQy4XHbc65LWP1zFhiB55D7Pi+RVtYgB28UM/\nkRytZf4ZAei1fV+Vcri4VQzGAX7dlo+vspGIQDVBPp3fkjcebGD1HuEYB0cokJvrAViz5SCK1mIa\nWi0s/bWCxlYr/7ooEi91v3Y17ZK9uUIQHR2sJufIEXF5T8/dc0cLk6ZltXLeWSXsS2G3vjyaW0C6\nrg4Qrs+vfFEMQEFhIROSfVj8czmlHZTKB+gV1DZZ2J2RS5R9+9OO4uIerSa/6TrUDY0UBwdRvG/f\ncT6o/sGhw8K4try0kPR0T5FBV071a6zEXw/pnD3+VFZWdvl6nwfkycnJHr3mBw8eZOLEiT3afsLY\nVGJiYrpfUULCBZ8fK0GuJC0tDQBDm5lL/72SYD8tSx6ahVwuo7m+kMxtv4vbKJQa0tLSyCqpR94i\nlIGmjhyFWtu5oFZtmReb1+RQvUPI1IyfFsPsmZ1nt4oqGtn8+Ro2H2rix5fO63Cd5lYTTZ8VAbBw\nbgrfrztCclyg+FlGj7ZxcWUTEUHeQtm8xEknpc3Me786y2JvWzjtlOjjTU9PF8+rUxnl16UYrVYm\npUayaW+JuHzhnGQ++yWT3/bU0ybTc+N5w7jy8Z9ZOHswl89J7nBfh3JreP+zDW7LMosMBAXJeOCq\nvv+uygy5gPuA/ptNwsROZ9eI+qY2Hv9M6OH11iq5+VJBXGz9gZ/ZktnEwSKj2FcOsGJXG88umtzn\nx36i+HrrRgDC/FWcP2cCebW7mDk2hrTksF7v69d96zhaXM+ooQM4VJhJcGg4aWlDAEG0jc+FINQ3\nIJSA8ChKa4rctr//72n4eqsZFBvApQ+vxIjXafEbkugdh6sygXpSU5JJHdS548/pco2V+OsgnbMn\nhqKioi5f79Ho3mq1YjQaMRqFG77r4/acf/75ZGRksHLlSkwmE8uXL+fgwYNccMEFPTrgU2FQK9H/\n8NaqqG8yYrULbNU2tmG12qiobSWnWMhmtD+3bGZ7FkRuQyEX0m0yeddzVFPPGoRXoPNnM2zwgC7W\nhkoXoa7OcPSmnZkWzdkT41ny0CzuW+i8OMpkMqJDfaRgvB/RvqRZum6dWHztol4JkX6olc7fRVqy\nU2l7/e5iXv1yNwCf/dq5hsnvOws6XO7oPe5rSiqbAHju9skkRvfMPze3pF58fMlZg/D2UqHVKDl/\nmuDb7hqMt1//VKOytpUDR4UJCx8vBSqlnH9eOeZPBeMA/71lIg9dM1Y8N7787TCrNueyYuNR8l0E\n377+PZtft+V7bD9heCQjB4Wi06oI9veiqKLpTx2HxKlNk0EqWZeQkDh+9GiE/8MPPzBixAhuvPFG\nLBYLI0aMIDU1lZKSEn788UdGj3b6rsbExPD666/z1ltvMXbsWJYsWcJbb73Va8szCYneMCQukKZW\nE+fdvxyT2crXvx8WX9t+oBwAmdz9RmqzCL2ELS1tyO0BubybgFytURI30ld8Hh7ZtT1Ve6G2jii3\nK0VrJRX1U4qlD8/ilguG88xtk072ofzluG/haKaNimb+5Hj+fd04AO6+bBRJ0e6/x52Hyrvdl0N7\nItBXy7XznYKkf9beqqHZyLaMUnFysL6pjXtf+YMn3tvK4YJa0jPL0aoVDIzxp8Xg3s/88ue7PLQi\nsgtrefqDHQBMHx3NuVOd/csXu+gauGI2W7FYrBiMZtalF3o4OPRnquudk5g+umNvGdDr1EwYHunm\nU/7Wt/tY/P1+7n/NvTIiw67S//4js8VlKpcJn+gQPTUNBiGz3sdYrTaq6rqfwJU4OYgq65LtmYSE\nxHGgRxHABRdc0GmGOzIykgULFrgtmzx5MitWrDj2o5OQ6CETRkSwWlS+NvDbdmfWa/vBMq6Ym4yX\nPozEkdfQ0GigMucL5FZhUNXaYkKu6lmGHCAiKIhDCFl3eTeD9pKq7rMpD729CYDDhbXdrivRfwgN\n1HHO5ISTfRh/SYYlBjMsUVA7HzU4lK+fOUec0LpibjK7syo4mFvTo30VVTTirVXywaOzqWkwsHpH\nAYXljR7Bck/5bm023649wnlTE5k5NoY7X1onvuaYIBg/LByVUsH8SfEs+SFDfH3NzkJmpMW4lcS+\n8Em6GABeOmsQSpdKGZXSM2CdNCKSTftKuOmZ1aKV3oBwH17/R/fiW/2BZnsmcvywcLSqvqsK8vZS\n8eV/z+a1L/ewaV9Jh+vklzXi7SVkwh+4eiyxYe7ieFGhevZkV1Jc2eQx+XOsfLs2m49WHuKJGycw\nOrljT3WJk4djosjXu+eOCBISEhI9RaqBlTgtSBvsHMAYjO4D6aPF9WLmwT80Bf9AQTldgRCEt7Wa\nUSisgAyZrPuMTNqIJPyCtKSc0b2ScUllzzNTRtPxKZGVkDjdca0uuWzWYJ67fQrLXzy30/Ura1u5\n/YU1fLTyICWVzUSH+SCTyQjy8+Ktf85Aq1bQ1NpxW1Z3OCpeflifw4NvbuxwnYtmCJntBVMSWPrv\nWcRFOKtu/r14M0eKhAk/q9Xmlt3uyPLrjX+cyT//PoYv/3s2nzwxl+GJgnq1q699flmjpy1kP6S1\nzcxHPx0CYOTAzvt0/yw6rYoHrh7L0odnce7UjifTokIEG81JIyKJaReQR4cKWfb8DhTYjxWHjd/G\nvT0TVpM4cdhsNo4WNxAR5I1OK2XIJSQk+h6pRlbitEChkHP+tESW/ZGDwaWc0EujoLXNwo6DZcyb\nKFhSaXXCgEshEwJgo8GCRmNErtT1KIPkpVNz10OzeqRKWdcoqCmrlHKsVptHRr2+yeljHRvui4SE\nRN8gk8kYkRTMviNCGbLNZkMmk2GxWLn52dWYzFbyywTlZEeg5SA6zIejRXW0GEy9HoA77AtDArw8\nNCTGDAnj3oWjxcBaJpMRGqDjyZsn8NPGXL5cLbTa3P/aBj58bA5b9rtncjvyKx8Q4csAl4B+5thY\n3vl+v8d6lbWt3VrGnUxsNhuXPvwTNqHSH2+dGmzH571CA3XceN5wBsUEcKSojrTkUPReasxWK2GB\nuk63c1Rl7MqsYObY3lnrdYfSXhq/N7sSi8UqaYb0I6rrDTS2GBmedGpZtUlISJw6SFd8idMGR5as\nrtEZ5I4dIviqbj/o7CVVqgT7MaXMgtlixtpmwVtnQKXp24C4qcXIkSJBXMlktnLe/cs5XOBeln77\nC2sB0GmV3HFxz7yIJSQkesYDV48lPEgIsBwZ4/yyRkxm9z7tmHa+3UnR/lht9Ljs3cHOQ+VY7L3j\nT7bzzI6L8OWxG8Z3mOUO8NHy93lDeOeBmQCYLVaefG8rb3y9F4DhicG8/o8ze9TXrtUoudPua+6l\nUXDzBcMBKCpv7Gqzk87KTbliMK5WKRhzAsq2p42O5vpzhzFyUChJMf4kDwgkwEfb6foDwn0ICfAi\nPbMcs6UL370/gWMiuaK2lawCqX2pP/DV6sMsuO8H1qYLLiwJkT0TYZSQkJDoLVJALnHaoFEL5eZ5\nLuWE509PJC7Cl73ZleKARy5XYrXKUMvhhdVL8TcJy739ovr0eN75zjNLtXZnodvzOnuG/D83T5TU\nWyUk+hgfnZqzzhAymdsOCJlrh6uBK+0z5MF+QlD2xHtbWbJsPw+8udEjiO+Iogpn0BvtEuSPHBjC\ng9eM7Xb7qBA98ycLlTyuQZnjOtZTZoyNZclDZ/HV0/OZMDwChVzGz1vzqW9q48vVWWJJfH9i3a4i\n5HIZT940gY8fn9NhNcDJRiaTccbQcJoNZg71crKmK1oMJppczstNe0tEpXmJk8fHq4T2iY9WCv8n\nREkBuYSExPFBCsglThscyaMf7L14E0dEMDAmgNGDQzGZrWQXOgehZrMCpdKC6ddIVCohINf5RPTZ\nsdhsNrbaAwBXolwG/i0G5wBsUGxAn723hISEkzh7K8iSZRkYTRZajZ5ibe17hc9MixHbS5ZvOMqB\no9Vc+K8f+WlTbqfvs2TZfpYuP+C2bEC4sN9HbxjX43JxX5dAdNFFqVw7P4WxQ3pn+aWQywgPElpz\ngvy8mDA8grzSBv7+2M98siqTe17+A5vtONWD/0naTBa0agWjBof26z7dM4YKVVcPvb2JT34+1Cf7\nrK4XWpscFn7LNxzl6Q+2H9M+y6qb3SaIJHqHxWpzE1AEz+uEhISERF8hBeQSpw0TRwjWeg4xpgH2\ngXiovSew1t7PDWC2KPDRt6BQWFAphQG6QunVZ8dytLi+Qx9js8XKP15dzyc/HyK3pO+FgSQkJNyJ\ncykzzcqvddOYcNC+bzg0UMdLd071WO+d7/Z1GuQs33BUfHzXpULJ+It3TeXTJ+d1qIbeGa69w3Mn\nxHHhmUnHrI6+YIqngNn+nKoeZf1PFEaTFbXq2G3OjjfDEp19xF/+dthtYvXP4lDwHugyMdvQbDym\nSZM7XlzLrc+t6fB8l+iesupmj7YEf73mJB2NhITE6Y4UkEucNoQHeeOtVYp9iA6/UMdNtM5FQE3n\nJTweNiQbpVIInBXKznsHe4uj9/TimQPRaZ3aiUUVTWQV1PLlb4dFe5+rzh7SZ+8rISHhTmiAc6Lt\nmQ938OnPmQCkJDgDq44EtJJi/BnTQWb6PRebMgftB+5eGuHao1Ure22T5Aj45k+K79V2XTE03lOM\n6uG3N/PSZ+nkltS7LTcYzW7l0ycKk9kiZoj7M2qVgjfvP1N83hce744M+bTR0fzrqjEMjBEs1Xrj\nd17TYCA9U9BKqaxtxWCfEN6TXXnMx/dXpKBMmDB3qO6Dsy1OQkJCoq/p/3c/CYleEOqS6XKIJ/l4\nC4PjphbPQWZwcJ1Yst6XGXJH1mRYYjBzx8eJy3ccLBMfN7UImfz+2CspIXG6IJPJWPb8Aq5bkILV\naqXEHkAl2vtBXTOe7XnshvHi47svG0V8pC/pmRUeAXj7vnT5MdxZh8YHsfiBmVx/3rA/v5MOuOfy\n0SyYksDTt00Sl23aW8KdL63DZBaCN5vNxsNvb+LmZ1Z72Eceb4xma68qCU4mseG+XDZrMMCf9qt3\nxRGQh/h7MTk1SiyNrq43YDRZWHDfDyy47wf2H6nqNGv+wJsbeXzJVtamF3LdU7+Ky//7/vZ+qRnQ\nn7HZbBTYHRimjIwWlx9rpYqEhIREZ0i2ZxKnFaEBOrEUXG8XSdPYyyA78vnWaowo7SXrSlXfZcgd\nmQ2dRsmVZw8hLEjH29/uo6bBmaXfYVd+99ZKP0MJieOJQiHngulJzDojlh/WH6WuqY1r5g8ldVAI\nwxK6tjIanhjM/pwqhsYHkZ5ZQW5JA/VNbQT5OSfwGlvcPcu7UuruCZEhfW9PNmNMDDPGxNBmshAW\nqBP90kEQwkyK9uebNdkcLhCCt31HqsR+6ePN8vU51DW2uTlk9HcclU99WbIeZBcTTIr2Z83OQnZn\nVbDjkNMh5KG3N6FVK1h08UjySxsYMyRMrPRwZOr/77Nd4vpD4gI5lFdDdmEdSdH+x3ycpxrvLttP\nfmkD/7xyDH49LDdftSWPj1ceEn/TZ50Ri79ezaABks6LhITE8UOKBCROK1wz5A5hIEdfYkc93QAa\ntTCg6ssMuSMg99IoUSrkRAR5e6yzca/gMSwJxUhInBj0OjVXzE0Wn/ck4Hz0hnHUNrQREexNgI8w\nqK+qa3ULyIsqmgBYOCeZ1IHBJMcF9vGR9x0alYI37j+TsuoWHnhzI82tJrYfKGflpjxW7ygQ19ud\nWfGnAnKLxcriZfvJyKni7stGdytY2WIwsaSDNoD+jiMgdy0rt1pt5BTXkRDl3yOLOgeODLnjnIoI\nFu4XHX0vBqOFlz5NB+CbNdk8ct04zkgJx0ujoLXNeY+785KRhAbo+PfizdQ1GDz2czqQmVfDU+9v\n49Hrx3ucZzabjR/tug7PfbTTrTLEgclswWKxodU4h8L7sivdJthC/L04Z7KnBoOEhIREXyKVrEuc\nVrj2i6rs/YiOvq+2DjLkAAOShPJTharvAvKVm/MAxBt9UkzH2Qm1Ut4rOyMJCYkTi1atFAMkR2/v\nP17bwGEXW7J8u9ViYrRfh/3a/Q2tWklchC9LH54FwBe/ZYnBuKN3fcWmXLGtxpXO/LdrGw0s/n4f\nq7bksWpzHoXlTazeXkBWfg2f/HyIksqmDrfbvK+kDz7RiUejFq7ty9bniMt+2pTLva+s56vVh3u1\nr+r6VlRKOT523RPHxA90rzHy7Ec7aGo1iT3jDkYOCiUsSJigPpB7elqoPfPhduqbjLy/4oDHaxW1\nreLj/TlV/O/HA5jMVlZtySO3pJ7v1h7h6id+4Y6X1mKxOtsAXCdYhsQFim4LEhISEscTKUMucVoR\nGuDMkDssSxwl6+mZFezKqmD04FCUaj1mozBANLdUAaBQ9L2CaqCvUILoo1OTPCCAzPxat9fnT06Q\n+tIkJE4Rwl0qXe57dT1zxg+gtKpZnOxzWKydKnh7qRg9OJRdWRXisuvOTWFrRilV9QbyShsYlhgs\nvvbYu1vYlVWBv4+GV+6ZRpCfF/uOVGK12iipambFRndbuA17ijmYW01+WSM/b8nj7X/NFLU9HDgC\npyvmJjN1VNTx+7B9TGqS8L1o1c5h1F67gNrmfSVcPnuwxza/bM3ns18O8eTNE4kO9UEhl1FQ1sCR\nonp8dCrxXhAf6ceF05OYMDyC5LhA5oyPo6iikUff3eJR6WUyW/lp01FsNqEtITLYm+LKJoL9tchk\nMoYlBrE3u4rC8sbTqhrrp41HxRawjJxqFtz3A3+fl8wZQ8OJj/QTJ8kcfL/uCN+vO+Kxn8YWEy99\nms7IQSGMSwmnvqkNpULO4zeMJyFa8h2XkJA4MUgZconTCkcADKBUCIMbRyajpsHAY+9uAWDohPvc\nN5TJkck9BYX2HalkwX0/iMrMPcEx256SECRm6UEoX3cQE+bDQ9eMlRTWJSROIXzaKab/sjWffUeq\nyMqvxUujJCSg76psThRP3DSBl+6aygt3TuG75xagUiq4fI5Q1v/w25vIyq8R13UE7nWNbTz27has\nVhtPLt3GI4u38Mkq5zXSS6NkRFIwTa0m8u3iWPVNRp7/eKdH1t2RmZ8wLKLHXu39gQBfLV4apVsP\nueN6n1fawIbdxR7bvPH1Hmoa2rj9hbW8+sUuli7P4OXPhZ7vEH/nZLJcLuPaBSli64Ovt5qh8UF8\n8sRcHrlunLjeeVMTAcTvPjxQx6WzBnPvwjQxuJ9vL7f+v8/S++yz9wfe+X6/x7JPVmXy1PvbsVpt\noj3hfVekMSIp2GPd86cl8sj1wne5YU8xr3+1h/d+yCCvtIEBET6kDgrxmDySkJCQOF5IAbnEaYWr\nj60jQ65VK3CtOrPZbKg0ekbPes5lYcdlmA+/vRkQSjp7imOA5hCVc+Da3/73uclMGB7Zod2ShIRE\n/8SvCwuzuAjfU7baZVBsAMkDAsWAcuLwCAJ9NVhtQnl+Zl6NW1kvQH5ZI80GE21GC0qFXOy7ffrW\nSSx+cCYjBnoGQXsOV/L7zkK3ZZX2DHmw/6k3meGnV1Pf5JxgULpMwG7Y6x6Qt1dHX5texLI/cjhS\nJNjO3XvF6G7fT6tWMmZIGA9cNZYHrh4rBuQOgjr4DsenhKOQyzhSVH/aqK13JaRXUdPC85/sJKdY\n+F4To/y47aJUt3VeuHMK1587jDOGhrvZH67bVYTZYiMhUsqMS0hInFikaEDitMLVJ9QRkCsVcvxd\nevKMZiH4lsncT3+T2UJ+mXuZ25/BYa/m8EF34FqO6TgGCQmJUwe9Ts2r907n48fnsvThWfjrNcyd\nEMfcCXEeg/5TGb1OzbsPzRKf/7a9gDa7DdpgF/Gso/ZgcsaYGB67YTy3XDCcYYlBBPho3TK+41Kc\n4nAd+bgH+mrwbjeBeSrg562hoblNDLZ9XTKq7W02a7tQkB8/LJwBPWx3kMtlTEqNZNKISAL9tPjp\nne/pWiHmQKGQM2f8AAByiuppbTOzcW+xxwRLX2Gz2TrVGegrHBMLs8cN4L4r0hiXEs4dl4xk/mRB\n/2DT3hLW7y5Gq1YQHuRNVIiepf92ns+xLqX7/7l5Am//a4Zbi4Hr5LmEhITEiUDqIZc4rVC7+Ngq\nFM5slcnsHHw0t5rEvnJXHnxzE1n/396dR0dVZXsc/1XmOYwBwiRDoMAEkwBBItEECLYDrQgIqC0I\nNKKvFVHxCbYIaDugbbPUpwJiI+2EIqKwRASaFpVmkMGJhCHIHDQQMg+V4b4/KlWkqABhSIpUfT9r\nuUzqnqp7jp6Vuvuec/c+eFJvPZGqFk2Czljv9VwKiqvqiwc6rqb16Nzc/nN+oXOyJACXv46tT62e\nLZpxfYNdFT8Xf19vfTp7sIY8tlxfbTpgD7IimgQp3hyhD77apRlvbZRkXSnu1a2Fw/sTrmwpk0ky\nDGvg9NDIOI16cqUk6e4ZX8rby6Qpf+olqeFWmggL8VN5haGiknIFB/o63BC2lTKzsW2hHj4gSm0i\nQvSPD7ZLkhZOH+SQsf98eHuZ9PJD12ncM6slnSqbdrrEmEh9sWG/svNK9PHa3fp47R4NHxClu2/s\nfkHnPZsX/vW9du3P1pyHk2tdaux82UrzxZsjdE2PSCXHW2uFV1YaMplM9uzq42+Jse/6iGgcpGfv\nu0Z5RRZ7BRZJ8vXxVpuIUA1O6qgPvrLuhGveAHdrAGjYWCGHW/HzPTWlfaptB6++xe14juOFks2u\nqqzJuQXWlYz801Y4Xnz3e63edOCM5z6eU6y8QssZV8gl6faBXSRJMTU80wagYXHXYNym+t/Qf1dt\nNQ/w81Z0J+s2X1uQHlbDVv6QQF+99miKHrg9Vr27t1BIkJ99pfxkfqmO55bof1/7VpJjfo2GJDzY\nGnC++O732r7rd1nKTq0MHz1eqMlzvlZuQal2Hzxpf/ypTUSoenVrqbYtQvTIHfEXHIzbRDQO0qQR\nsRqa0vmMFTts30X7juTo47V7JMkpAd+l8t0PR3U8t0TPL9pSJ58vyV7hoEtbx1JnXl4m/fmWaF3R\nKky+Pl5K6dnG4XhM52a6pkdkjZ8ZGuSnllVZ6Ztd5P8TADhfDfNbEDgD/xqeIZfksD3v8O8FZ62N\n+8m6PZo6OkHHThQ6vL5++xGt335EAxPaOV2In8gt1j1PfyVJ6tre+tnBAc4B+Z3XmzWsf1SDvQAF\n4FlefuhaPTxnvf33guIyh90+kvPNS5t2LcPUrtpW7NSEdtr0yzGndg3176Ftu/jW9N+1Nf1UpvqI\nJkH6PbtIew/l6NP/7NUn605l9+7UOlxhwX56/bEBl6wfAxPan/W4LTnZxp9P/bevrMUOsPwii77Z\ncUTdOzQ97/KcGXX4vPqegyfVONRfzRo57wgwmay7BsrKKxxyytTG3yddp+/TjtV6fX2HAAAS1klE\nQVSY/wAA6hIr5HAr1b+Aq29Zr+4fH2yzr/b0SH5KLa5IUUHjcfbjG37MlGQN3Gtiyxpc3furTiV9\n23XgpEKD/NStKkNudV5epgZ78QnA80S1baxlswdraEpnSVK/q6wrjMk928jLy6TGof5KTWhXq8/q\nE91KE4fEKCjAR7FRp4L6xqE1b7W+3IUF17wlu3WzU+XxqgfjI1O7ql3L+t+eHx7qr6AAx+8dS1mF\ncs7yXPuvR3N1x5Mr9cYnP+qBl9bpZF7JOc/zw+4s+8/FpRU69Jvzd+XFspRV6Hhuidq1DD3jDhVf\nHy+Hbem1FRbsp/69nG+4A0BdIyCHW/Gqlk7dt9oK+QO3xzq0s5Wa8fULUZsuN6qg1HnLpe1i4vTv\n5p/2Hnf43TAMezmg5/+nnz545ka9N+sP6ty20YUPBAAuE97eXhp9U3e99miKro2zbgN+5I6e+uzF\nP2rRjD841Gc/l5v6ddTiv92kqWN667q4NurdvYVuua7Tud94GWrRtObkX62bO5dvmzq6t+78g9kl\nwZ6/r7defSRFrar+P92W3FmGIY2etUpl5RWqqKjU4jW7HJ57//K/+x0+44fTvvdqsnmn4+6H+2f/\nWzt2/+7wWkGR5Yz5WcrKKzXt9e+04HPnxH82tqz2jUIa5k0cAKgJATncVvXgfFCf9npmYuIZ2xYU\nO265rKg0lF21IuBzWmmy09tmHM7V8ZxiJce30ZUdmyok0Jc77ADcislkUvvz3LZ8NkEBvnr0rp6a\nPu7qGrODNwSJMa3sP//x2o72n9tEOAfkkTUE6fUpokmQXnkkWfOnDdTQ/lGSrEnQ5nywXZ+tz9C7\nK9M1ZtZX9vbHThQ5vH9fVRmxs/lx73H5+Xhp7tRT2/GfnPtf/fenozIMQ/uO5OrOp77U28t/qfH9\nKzf8qp8yjmvZ1xlnPEdOgfV7uXp2eQBo6Ng7C7fz4oNJyjpZ7BQUV8+Ae7rTg+yjWQX25G59o1tp\n/Y4jahIWoOy8Env5HxtbMri4rhGXovsAgAbAZDLpmXsTJZMU06mZKioMBQX4KLVPe7VqHqKMwzla\n9EWaJKlVs9rvIqgrAf4+aln1yNRDI+M058PtWr/jiNbvOFUzffAjn2nRjOuVtj9bLZsG6Z6br9Rz\n72xR+v7ss372im/3aX9mnq6KaqbIZiH60w3d9K+V1rE/u3CLOkSGqaLSUGWloWVfZ+jGxA76evth\nrfv+kGbdm6j9R3M1v1pJvPQD2erarrHeW5Wu9duOqFuHJhrWP0q/7LP2o3UNNz0AoKEiIIfbMbdv\nInMNOW6qJ3wLOC04LzwtIM88Uai8Qov8fLx039AeGjYgSiaTSQ+8tE6llgpJ0vLNJ/X3ZSvtpWZq\nSjADAHBfV3U59Sz8xNt62H+O7xqhxqH+WvRFmgL9fWostelKA3q3U1CAr55duNnp2HMLt6i4tFwD\nerdVYo9IdWoTrj2HclRWXiFfH8dxrNp4QFk5RVq8erck2bPGD07qqCNZBfZ8Lb8ezXN434Tn1th/\nHv+31U59mPLKNw6/Z54otH+WZP2eBwB3wZZ1eAxbpllJKrFUqKRqpfv37CKt3nzQoe2x44UqsZQr\nwN9HIUF+6hAZbr+gKqkKyLfuLVR+kUX7M60XGnVVcxUA0PB0iAzXlLt6as7k61zdlRr1jWmlP98a\n7fR6WtVqeGJVibBu7ZuovKJSD89ZrzkfblNJqfW7M/1Atl77eIc9GJdkT/4X6O+jyaPiNX/aQI2/\nJVqTRsQ5HD+Tu2/s5vB7s/AADeztmDSwe4cml/TxCQBwNVbI4TGaNQrUs/ddo7XfH9TaLYeUcThX\nV3Zsqg0/HXVqa9s6F9HkVNIe26p6yWlb1m3aRtR/9lwAwOXLlgTvcnVTYgf9uOe49mfm6c3HB6jU\nUqHsvBIZhmEvWXdFpPXf+zPztD8zT2u3HNLyv9+i735w/O78y/BYhzJ3ktSyabBuudaatK9vTCsF\nB/rqwLF8fZ/2mxK6t9ST4/po7qc/asW3v+qVR5LVITJcwwd00bKvM7TvSI4euD1OFRWV8vIyqUNk\nmDq3bcTqOAC3Q0AOjxLTuZn2Hc2VdMj+jLi316mNIndcb9b7q9Ltv1ff2h4c6CuT6VSW1+oC/X0c\nksgBAHC58/b20hP3JKjSkLy9TPIJ9FJwoGPJMNs29OpWfLtPB6p2h73+WH+1iQg5ZzJT2+feN7SH\ntqb9pkF9rM+W3Tukh+4d0sOh7a3VMu/7+ng5VUoBAHfClnV4nOCqeqxFJdbnxkvLrFvQ+8a00qhB\nXR3aWqqOSdYa5y2aBOnQb/lOSeCKS2teNQcA4HJmMpnkfZYbyp3bNFJEkyBNuDVGkVXJ6eZ++pO2\nV9UdDz7PyiIRjYN0Q2IHeXtzCQoAEgE5PFBQgPUufWGJNYi2rZQPqyoF89z919jbnl76pW2LUOUU\nlOqNJT/UR1cBAHCpRqH+WvBEqgYnddTwAVFOx4P82WwJABeDgBweJ7gqIC+qWuXOqQrIG4Vak7Jd\n2bGpve3/3t3L4b22urO2MjGzJvSVJKUmOCadAQDA3XRq08jptbOVFAUAnBu3NeFxwkKs2dbzCq3P\ngufmWwNyW5Z0k8mk/5uSouBAX6dn5wYmtNfB3wr06X/2SpKuimquZS/+UTw+DgBwd1e0CtNfhscq\nplNTHTiWrxO5xee1XR0A4IyAHB6nUVXgfbKgVIZh6MjxQqc6sadniq3O3L6xJCkqMoBEbgAAj2Ey\nmXT91dZkbJHNQ1zcGwBwDwTk8DhhwdYV8mMnCvX5N/v0e3bROd7hqG9MKz1xT4JKcw7VRfcAAAAA\neAgCcngcb28vmUxSxuFcZRzOPe/3m0wmXR3dSlu3OtcvBwAAAIDaIqkbPJJhuLoHAAAAADwdATkA\nAAAAAC5AQA5Imj6uj6u7AAAAAMDDEJADcqw9DgAAAAD1gaRu8Ej/mHydvvjuV024NUaVhqGgAF9X\ndwkAAACAhyEgh0fq3KaRHhwR5+puAAAAAPBgbFkHAAAAAMAFCMgBAAAAAHABAnIAAAAAAFyAgBwA\nAAAAABcgIAcAAAAAwAUIyAEAAAAAcAECcgAAAAAAXICAHAAAAAAAFyAgBwAAAADABQjIAQAAAABw\nAQJyAAAAAABcgIAcAAAAAAAXICAHAAAAAMAFCMgBAAAAAHABAnIAAAAAAFyAgBwAAAAAABcgIAcA\nAAAAwAUIyAEAAAAAcAECcgAAAAAAXICAHAAAAAAAFyAgBwAAAADABQjIAQAAAABwAQJyAAAAAABc\ngIAcAAAAAAAXqFVAXllZqRdeeEF9+/ZVz5499eCDD+rkyZM1tt28ebPMZrPi4+MVFxenuLg4jRo1\n6pJ2GgAAAACAhs6nNo3mzp2rdevWacmSJQoPD9e0adP02GOPaf78+TV/qI+Ptm3bdkk7CgAAAACA\nO6nVCvnHH3+sCRMmqHXr1goJCdGUKVP0zTffKDMzs677BwAAAACAWzpnQJ6fn6+jR4+qe/fu9tfa\ntm2rkJAQpaen1/ieiooKpaSkqF+/fpo4ceIZ2wEAAAAA4KnOuWW9sLBQJpNJoaGhDq+HhYWpoKDA\nqX2nTp20bNkyRUVFqaioSPPmzdPo0aO1YsUKNW/e/IznqaiokCQdO3bsfMcAuERWVpYOHz7s6m4A\ntcacRUPCfEVDw5xFQ8OcrR+2+NYW757unAF5cHCwDMNQfn6+w+t5eXkKCQlxat+0aVM1bdpUkhQS\nEqKHH35Yq1at0vr16zV06NAznicrK0uSdOedd56rSwAAAAAANBhZWVlq37690+vnDMhDQ0MVGRmp\nnTt3ymw2S5IOHjyowsJCde3atVYnN5lMMgzjrG2io6P13nvvqXnz5vL29q7V5wIAAAAAcLmqqKhQ\nVlaWoqOjazxeqyzrt99+u+bPn6+EhASFh4frpZdeUlJSkiIjI53abty4UZGRkWrbtq2Ki4u1YMEC\nZWdnKykp6aznCAgIUK9evWrTHQAAAAAAGoSaVsZtapVlfcKECUpJSdGwYcOUnJwsSZo9e7Ykafny\n5YqPj7e3TU9P15gxYxQfH6/U1FT9+OOP+uc//6kWLVpcxBAAAAAAAHAvJuNce8kBAAAAAMAlV6sV\ncgAAAAAAcGkRkAMAAAAA4AIE5AAAAAAAuAABOTzWSy+9pJtvvlk9e/bUtddeqyeffFK5ubkObZYt\nW6bU1FTFxcVpxIgR+uWXXxyO//TTTxo+fLhiY2M1aNAgff755w7Hd+3apTFjxighIUFJSUl65ZVX\n6nxccF8XO2dLS0s1adIkXX/99erWrZvefPNNp3PMmTNHQ4YMUXR0tMaOHVvnY4J7q485O27cOPXr\n10/x8fFKSkrStGnTlJOTU+djg/upj/nav39/9ejRQ/Hx8YqLi1N8fLz27NlT52ODe6rrOZuZmWmf\np7Z/oqOjqYx1qRmAh3r55ZeNtLQ0o7y83MjOzjbGjx9vTJw40X58y5YtRmxsrLFhwwbDYrEY8+fP\nNxITE42CggLDMAwjPz/fuPrqq4233nrLsFgsxnfffWfExsYaO3bssB/v16+fsWDBAqOiosLYu3ev\nkZycbLz99tsuGS8avouds6WlpcbChQuNTZs2GSNGjDDeeOMNp3MsXbrUWLdunfH0008b99xzT72N\nDe6pPuZsWlqaYbFYDMMwjBMnThh33XWXMXXq1PoZINxKfczXlJQUY/ny5fU2Jri3+pizpxs5cqQx\na9asOhuTJ2KFHB5r8uTJMpvN8vb2VuPGjXX33Xdry5Yt9uNLlizRoEGD1LdvX/n6+mr8+PHy9/fX\n6tWrJUmrVq1SYGCgxo0bJ19fXyUmJio1NVWLFy+WJG3dulUWi0Vjx46Vl5eXOnXqpKFDh+r99993\nyXjR8F3snPXz89Po0aOVkJAgX1/fGs8xZMgQJScnq1GjRvUyJri3+pizZrPZfqyyslImk4lSq7gg\n9TFfJcmgwBEukfqasza7d+/W9u3bNXLkyDobkyciIAeqbNiwQWaz2f57enq6rrzySoc2ZrNZu3bt\nkmTdjt69e3eH4927d1d6evoZz1FZWanDhw+rsLDwEvYcnup85yzganU1Z2fOnKm4uDglJSWpSZMm\nmjRp0iXpLzxbXc3X559/Xn369NGQIUPsN/GBS6Gurws+/PBDxcXFKSoq6qL6CUcE5ICsq90fffSR\n/vrXv9pfKywsVGhoqEO7sLAwFRQUnPW4LdiOjY2VyWTSvHnzVFZWpt27d2vp0qWSZP8M4EJdyJwF\nXKku5+xTTz2l7du3a/ny5crIyNCLL754SfoMz1VX83X27Nlas2aNNmzYoClTpujll1/WRx99dMn6\nDc9V19cFJSUlWr58OavjdYCAHB5v5cqVmj59ut58802Hu4rBwcHKz893aJuXl6eQkJCzHg8ODpYk\nhYeHa968eVq/fr369eunxx9/XMOGDZOXl5fCw8PreFRwZxc6ZwFXqa8527lzZ91///32m5/AhajL\n+dqrVy8FBgbK29tbiYmJGjt2rFNCWOB81cff2BUrVsjLy0s33HDDRfcXjgjI4dE++eQTzZgxQ3Pn\nzlXv3r0djpnNZu3cudPhtbS0NPsfOrPZrLS0NIfjO3fudPhD2KNHD7377rvatGmTli5dqsLCQsXE\nxCggIKCORgR3dyFztmvXrvXZRcBBfc/Z8vJy+41R4Hy54m8sz5TjYtTXnF28eLFuu+02+fn5XVR/\n4YyAHB5r0aJFmj17thYsWKDY2Fin48OHD9dXX32ljRs3ymKxaP78+SorK9PAgQMlSampqSouLtbb\nb78ti8WiDRs2aM2aNQ5beXbu3CmLxSKLxaKVK1dqyZIlmjx5cr2NEe7lQudsamqqvY3FYlFpaakM\nw1B5ebksFovKy8vtx8vLy1VaWqqysjJVVlba5y9wIep6zu7bt09r1qxRUVGRDMPQzp079frrr2vw\n4MH1Nka4j7qer0ePHtWmTZtksVhUWVmpzZs365133tGNN95Yb2OEe6mP6wLJej37888/s129jpgM\nbsvBQ5nNZvn4+Njv9BmGIZPJpG3bttnbfPbZZ3r11Vd1/PhxdenSRTNnzlS3bt3sx3/++WfNnDlT\ne/bsUfPmzTVp0iTdfPPN9uPTp0/Xl19+qbKyMnXp0kUPPfSQ+vbtW3+DhFu5FHO2f//+yszMdPjc\nW2+9Vc8995wkaerUqfr0009lMpns52jdurXWrl1b18ODG6rrOZuRkaEnnnhC+/btU2VlpVq0aKEh\nQ4bYq1sA56M+5uujjz6qgwcPymQyqVWrVho1apTuuOOO+hkg3E59XBdI1jwdBw4c0MKFC+t2QB6K\ngBwAAAAAABfg9jEAAAAAAC5AQA4AAAAAgAsQkAMAAAAA4AIE5AAAAAAAuAABOQAAAAAALkBADgAA\nAACACxCQAwAAAADgAgTkAAAAAAC4AAE5AAAAAAAu8P8DGs+55zbRMAAAAABJRU5ErkJggg==\n",
       "source": "display",
       "text": [
        "<matplotlib.figure.Figure at 0x32889190>"
       ]
      }
     ]
    },
    {
     "cell_type": "markdown",
     "id": "BA8DF103FE024AD08FDD1811E7782E52",
     "metadata": {},
     "source": [
      "6.6.2  \u57fa\u4e8e\u98ce\u9669\u56e0\u5b50\u7684Smart Beta\n",
      "--------------------------------"
     ]
    },
    {
     "cell_type": "markdown",
     "id": "15364024F730408082315DB37A45554D",
     "metadata": {},
     "source": [
      "\u57fa\u4e8e\u98ce\u9669\u56e0\u5b50\u7684Smart Beta\u2014\u2014\u4ef7\u503c\n",
      "---\n",
      "- \u4ef7\u503c\u56e0\u5b50\u7740\u773c\u4e8e\u4ef7\u503c\u88ab\u4f4e\u4f30\u7684\u80a1\u7968\uff0c\u8ba4\u4e3a\u4f4e\u4f30\u503c\u80a1\u7968\u76f8\u6bd4\u9ad8\u4f30\u503c\u80a1\u7968\u6709\u8d85\u989d\u6536\u76ca\n",
      "- \u9009\u53d6\u5e38\u89c1\u7684`\u5e02\u76c8\u7387\u3001\u5e02\u51c0\u7387`\u6765\u6784\u5efa\u4ef7\u503c\u56e0\u5b50\uff0c\u7b49\u6743\u5408\u6210\n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "id": "99CC5D9E2E204E308D839E084158C73B",
     "input": [
      "import numpy as np\n",
      "import pandas as pd"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "strategy",
     "collapsed": false,
     "has_detail": true,
     "id": "2609D7B5DF0E4CAF83B0FE6BD5A8092F",
     "input": "import numpy as np\nimport pandas as pd\nstart = '2008-01-01'\nend = '2017-12-31'   # \u56de\u6d4b\u7ed3\u675f\u65f6\u95f4\nuniverse = DynamicUniverse('HS300') + DynamicUniverse('ZZ500')\nbenchmark = 'HS300'                       # \u7b56\u7565\u53c2\u8003\u6807\u51c6\nfreq = 'd'                              # \u7b56\u7565\u7c7b\u578b\uff0c'd'\u8868\u793a\u65e5\u95f4\u7b56\u7565\u4f7f\u7528\u65e5\u7ebf\u56de\u6d4b\uff0c'm'\u8868\u793a\u65e5\u5185\u7b56\u7565\u4f7f\u7528\u5206\u949f\u7ebf\u56de\u6d4b\nrefresh_rate = 10                          # \u8c03\u4ed3\u9891\u7387\n\naccounts = {\n    'fantasy_account': AccountConfig(account_type='security', capital_base=10000000)\n}\n\ndef initialize(context):                   # \u521d\u59cb\u5316\u865a\u62df\u8d26\u6237\u72b6\u6001  \n    context.signal_generator = SignalGenerator(Signal('PB'), Signal('PE'))\n\ndef handle_data(context):                  # \u6bcf\u4e2a\u4ea4\u6613\u65e5\u7684\u4e70\u5165\u5356\u51fa\u6307\u4ee4\n    account = context.get_account('fantasy_account')\n    current_universe = context.get_universe(exclude_halt=True)\n    yesterday = context.previous_date.strftime('%Y-%m-%d')\n    \n    signals = context.history(current_universe, ['PE', 'PB'], 1, freq='1d', rtype='frame',style='tas')[yesterday]\n    signal1 = standardize((1.0 / winsorize(signals['PE'])).replace([np.inf, -np.inf], 0.0))\n    signal2 = standardize((1.0 / winsorize(signals['PB'])).replace([np.inf, -np.inf], 0.0))\n    signal = (0.5*signal1).add(0.5*signal2, fill_value=0.0)\n    wts = long_only(signal.to_dict(), select_type=1, top_ratio=0.2, weight_type=1, target_date=yesterday)\n    \n    # \u4ea4\u6613\u90e8\u5206\n    positions = account.get_positions()\n    sell_list = [stk for stk in positions if stk not in wts]\n    for stk in sell_list:\n        order_to(stk,0)\n\n    c = account.portfolio_value\n    change = {}\n                                               \n    for stock, w in wts.iteritems():\n        p = context.current_price(stock)\n\n        if not np.isnan(p) and p > 0:\n            if stock in positions:\n                change[stock] = int(c * w / p) - positions[stock].amount\n            else:\n                change[stock] = int(c * w / p) - 0\n\n    for stock in sorted(change, key=change.get):\n        account.order(stock, change[stock])",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": "The stock 600001.XSHG is expiring and the system closes relevant position."
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": "\n"
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": "The stock 600607.XSHG is expiring and the system closes relevant position.\n"
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": "The stock 600631.XSHG is expiring and the system closes relevant position.\n"
      },
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 2,
       "text": "'{\"information\": 1.96878, \"benchmark_cumulative_return\": {\"1243296000000\": -0.490517545, \"1355097600000\": -0.5745727088, \"1283126400000\": -0.4539420937, \"1402876800000\": -0.5894070749, \"1255305600000\": -0.4096169553, \"1308096000000\": -0.4449298276, \"1282003200000\": -0.4488318335, \"1361145600000\": -0.487199997, \"1298505600000\": -0.4022531602, \"1240444800000\": -0.5141581183, \"1348185600000\": -0.5880583259, \"1246579200000\": -0.3767393243, \"1429833600000\": -0.1190720607, \"1348704000000\": -0.5781937253, \"1213056000000\": -0.3993271241, \"1419552000000\": -0.3545036978, \"1408492800000\": -0.5567598552, \"1254182400000\": -0.4432120458, \"1324944000000\": -0.5682073627, \"1477526400000\": -0.3732634856, \"1460937600000\": -0.3952259904, \"1216080000000\": -0.4655619413, \"1355961600000\": -0.5532606008, \"1509062400000\": -0.2465798722, \"1498780800000\": -0.3131125194, \"1211414400000\": -0.3047498445, \"1208736000000\": -0.3879020958, \"1286841600000\": -0.4056643713, \"1375660800000\": -0.5732089737, \"1206316800000\": -0.2774657755, \"1321833600000\": -0.5111365459, \"1483660800000\": -0.3728940782, \"1354060800000\": -0.6011524311, \"1510617600000\": -0.2320839297, \"1205366400000\": -0.2134245487, \"1307059200000\": -0.4405782387, \"1202860800000\": -0.0978217703, \"1356912000000\": -0.5273852252, \"1493337600000\": -0.3556439527, \"1339632000000\": -0.5203661104, \"1247788800000\": -0.3406471747, \"1487030400000\": -0.3563837041, \"1204502400000\": -0.1025686176, \"1471478400000\": -0.3697436253, \"1316995200000\": -0.5109061346, \"1272240000000\": -0.4058011195, \"1347321600000\": -0.5669223046, \"1466121600000\": -0.4173484718, \"1345507200000\": -0.566583244, \"1448582400000\": -0.3336820099, \"1445385600000\": -0.3493683359, \"1326326400000\": -0.5438193575, \"1371427200000\": -0.5496976554, \"1474329600000\": -0.3898028953, \"1290384000000\": -0.405812359, \"1320192000000\": -0.4862783518, \"1257897600000\": -0.3451692305, \"1293062400000\": -0.4026896304, \"1375315200000\": -0.5793851203, \"1471910400000\": -0.3739875016, \"1297728000000\": -0.3972459294, \"1209513600000\": -0.2583528777, \"1211241600000\": -0.3048659868, \"1353369600000\": -0.5944611373, \"1229644800000\": -0.6155859191, \"1401408000000\": -0.5960384244, \"1370390400000\": -0.5203436313, \"1253145600000\": -0.3780581011, \"1242345600000\": -0.4762133122, \"1326844800000\": -0.5462602186, \"1203984000000\": -0.1541226762, \"1284940800000\": -0.466152019, \"1418601600000\": -0.397328353, \"1326067200000\": -0.5563046524, \"1320710400000\": -0.4890283013, \"1225238400000\": -0.6893718576, \"1360195200000\": -0.4830038889, \"1405036800000\": -0.5976213312, \"1234137600000\": -0.5697734102, \"1251849600000\": -0.4584529099, \"1308182400000\": -0.4534606652, \"1310947200000\": -0.4150550365, \"1369353600000\": -0.513470631, \"1314662400000\": -0.4676674884, \"1340236800000\": -0.5294008557, \"1319068800000\": -0.5278385547, \"1498521600000\": -0.3116293638, \"1384128000000\": -0.5661729995, \"1335312000000\": -0.5080831279, \"1226620800000\": -0.6359033247, \"1338768000000\": -0.5206264939, \"1200528000000\": 0.0051214998, \"1214438400000\": -0.4415972935, \"1427068800000\": -0.255928876, \"1278374400000\": -0.5199015413, \"1303344000000\": -0.3785695018, \"1467763200000\": -0.3974081539, \"1417651200000\": -0.4184737406, \"1280361600000\": -0.4608787849, \"1433721600000\": 0.0028979372, \"1299196800000\": -0.3873176379, \"1510704000000\": -0.2368947301, \"1477008000000\": -0.3766269285, \"1374192000000\": -0.5896655852, \"1507680000000\": -0.2689242977, \"1234224000000\": -0.5641386364, \"1433289600000\": -0.0364705486, \"1429142400000\": -0.1544935822, \"1279584000000\": -0.4864450722, \"1263427200000\": -0.3501558554, \"1400630400000\": -0.5998879789, \"1388707200000\": -0.5708767618, \"1492732800000\": -0.3505798684, \"1267574400000\": -0.3752519538, \"1336953600000\": -0.5100425605, \"1436832000000\": -0.2296865282, \"1432512000000\": -0.0447297631, \"1283817600000\": -0.4411851757, \"1416355200000\": -0.5247120795, \"1415750400000\": -0.5140157504, \"1254268800000\": -0.437120196, \"1274313600000\": -0.4893448826, \"1318550400000\": -0.5028773313, \"1450828800000\": -0.2757253273, \"1209340800000\": -0.3014322965, \"1284595200000\": -0.464660902, \"1301270400000\": -0.3835898454, \"1502236800000\": -0.3010775006, \"1337558400000\": -0.5153438935, \"1389571200000\": -0.5890661412, \"1427673600000\": -0.2341765512, \"1215475200000\": -0.4564091805, \"1409011200000\": -0.5646369243, \"1369180800000\": -0.5095742449, \"1512950400000\": -0.2376758619, \"1253836800000\": -0.4270570296, \"1431561600000\": -0.1194204875, \"1320969600000\": -0.495155743, \"1303689600000\": -0.3912702219, \"1422316800000\": -0.3303217516, \"1385683200000\": -0.5431225039, \"1213142400000\": -0.4117393617, \"1326240000000\": -0.5437463003, \"1482883200000\": -0.3814694995, \"1353542400000\": -0.5920877136, \"1375747200000\": -0.5703410087, \"1322092800000\": -0.5150273122, \"1419292800000\": -0.3771551886, \"1392163200000\": -0.5707887185, \"1442966400000\": -0.3887491851, \"1480464000000\": -0.3372395228, \"1477612800000\": -0.3743067055, \"1422489600000\": -0.3477674457, \"1414454400000\": -0.5472980061, \"1445299200000\": -0.3298022959, \"1463443200000\": -0.4219064942, \"1252281600000\": -0.4184999663, \"1355788800000\": -0.5563889492, \"1333065600000\": -0.5401327768, \"1201046400000\": -0.068031276, \"1501804800000\": -0.3054729988, \"1405296000000\": -0.5931723327, \"1392854400000\": -0.5715024315, \"1488844800000\": -0.3529831706, \"1380153600000\": -0.5533317848, \"1416960000000\": -0.4899068614, \"1271894400000\": -0.4002675019, \"1216771200000\": -0.4598784627, \"1285027200000\": -0.4647189732, \"1208995200000\": -0.2929370509, \"1366156800000\": -0.5394640221, \"1281052800000\": -0.4571922042, \"1332892800000\": -0.5363862518, \"1444694400000\": -0.3546529968, \"1507852800000\": -0.2654934361, \"1398297600000\": -0.5896674584, \"1479340800000\": -0.3562467686, \"1508198400000\": -0.2669794765, \"1239235200000\": -0.5283743078, \"1490572800000\": -0.3484720734, \"1215561600000\": -0.4351869891, \"1294185600000\": -0.4051155054, \"1225152000000\": -0.6804551279, \"1332374400000\": -0.5159957889, \"1412726400000\": -0.5357343564, \"1383868800000\": -0.56766037, \"1450310400000\": -0.2964235671, \"1274227200000\": -0.4825730385, \"1481155200000\": -0.3499511078, \"1378771200000\": -0.536388125, \"1409529600000\": -0.5587867253, \"1418774400000\": -0.3704713878, \"1233619200000\": -0.6049457878, \"1471996800000\": -0.3762292349, \"1201132800000\": -0.0582715781, \"1441756800000\": -0.3632209251, \"1224028800000\": -0.6413901107, \"1361750400000\": -0.512022599, \"1436400000000\": -0.2698723184, \"1502668800000\": -0.3078888518, \"1509494400000\": -0.2513277498, \"1308614400000\": -0.4550548117, \"1217376000000\": -0.4596798969, \"1349654400000\": -0.5747600351, \"1306454400000\": -0.4448942356, \"1399939200000\": -0.5925934945, \"1390780800000\": -0.5849000052, \"1218672000000\": -0.5422664229, \"1438905600000\": -0.2681266251, \"1485216000000\": -0.3697499944, \"1382659200000\": -0.5563065257, \"1211932800000\": -0.311345602, \"1470700800000\": -0.389881947, \"1409616000000\": -0.5529533857, \"1417046400000\": -0.4840117041, \"1441670400000\": -0.3754499577, \"1339372800000\": -0.5207707351, \"1491955200000\": -0.3425899915, \"1503964800000\": -0.2816904321, \"1433462400000\": -0.0201806574, \"1475107200000\": -0.3922411338, \"1362441600000\": -0.5086788254, \"1276732800000\": -0.4862146609, \"1252886400000\": -0.3830615854, \"1256169600000\": -0.3729590805, \"1337644800000\": -0.5077946455, \"1369094400000\": -0.5101699424, \"1454025600000\": -0.4481199937, \"1509408000000\": -0.2494365414, \"1508371200000\": -0.2635737541, \"1307491200000\": -0.4364008632, \"1496620800000\": -0.3502113415, \"1464912000000\": -0.4025555048, \"1343952000000\": -0.5590827008, \"1340755200000\": -0.541575189, \"1268006400000\": -0.3844122077, \"1509321600000\": -0.248873832, \"1229990400000\": -0.6405284099, \"1328227200000\": -0.5305435459, \"1439337600000\": -0.2476741572, \"1345680000000\": -0.568737496, \"1318982400000\": -0.5161212975, \"1388102400000\": -0.5684977184, \"1457568000000\": -0.4355586444, \"1337731200000\": -0.5097915433, \"1352764800000\": -0.5855519006, \"1385596800000\": -0.5430119814, \"1455580800000\": -0.4310836075, \"1429574400000\": -0.1347100564, \"1462233600000\": -0.3980195868, \"1499644800000\": -0.3155685352, \"1436227200000\": -0.2641819088, \"1381795200000\": -0.5377687195, \"1267142400000\": -0.3852570491, \"1432771200000\": -0.0944630106, \"1289260800000\": -0.3398716441, \"1440028800000\": -0.2953809092, \"1328745600000\": -0.5262088163, \"1395792000000\": -0.5933053343, \"1259539200000\": -0.3421720105, \"1456790400000\": -0.4510040687, \"1507593600000\": -0.271326401, \"1414540800000\": -0.5407921653, \"1472601600000\": -0.3766168129, \"1337904000000\": -0.5179908135, \"1427846400000\": -0.2274852574, \"1460332800000\": -0.3949182134, \"1480982400000\": -0.3520098234, \"1468540800000\": -0.3862671123, \"1457308800000\": -0.4183819507, \"1459987200000\": -0.3988157234, \"1242172800000\": -0.4728620455, \"1199664000000\": 0.0408951947, \"1414713600000\": -0.5301239351, \"1383177600000\": -0.5553399222, \"1346976000000\": -0.5659313487, \"1392076800000\": -0.5718546049, \"1226880000000\": -0.6277396465, \"1332460800000\": -0.5217673108, \"1338163200000\": -0.5101999146, \"1404086400000\": -0.594416179, \"1245110400000\": -0.4452857475, \"1388016000000\": -0.575644215, \"1404259200000\": -0.593339053, \"1441929600000\": -0.3729838075, \"1213574400000\": -0.4469679372, \"1390867200000\": -0.5841619398, \"1459382400000\": -0.397167627, \"1424822400000\": -0.3483425373, \"1212019200000\": -0.3292090336, \"1492387200000\": -0.3481155541, \"1339977600000\": -0.5164715976, \"1318204800000\": -0.5209917801, \"1283212800000\": -0.45615629, \"1278547200000\": -0.5174625535, \"1389657600000\": -0.5854750968, \"1256860800000\": -0.3855005732, \"1500854400000\": -0.2987500468, \"1493769600000\": -0.3606314768, \"1282089600000\": -0.4497553519, \"1239926400000\": -0.5034561694, \"1343174400000\": -0.5578950523, \"1463356800000\": -0.4201673573, \"1212710400000\": -0.3463250335, \"1288656000000\": -0.3512648269, \"1490054400000\": -0.3506622358, \"1451260800000\": -0.3017166578, \"1231718400000\": -0.6402043355, \"1300406400000\": -0.3976168354, \"1323043200000\": -0.5276774542, \"1468454400000\": -0.3861760717, \"1268611200000\": -0.4037068119, \"1426550400000\": -0.2961927812, \"1514419200000\": -0.2471550012, \"1309219200000\": -0.4302041107, \"1449792000000\": -0.3241158201, \"1271203200000\": -0.3623957529, \"1247097600000\": -0.3637838405, \"1290988800000\": -0.4024198806, \"1331078400000\": -0.5123897585, \"1282262400000\": -0.4570666956, \"1276128000000\": -0.4848490525, \"1469404800000\": -0.3947704129, \"1364256000000\": -0.5176255273, \"1342742400000\": -0.5507054707, \"1335225600000\": -0.5120394584, \"1433894400000\": -0.0054643069, \"1291680000000\": -0.4004922934, \"1450742400000\": -0.2737861259, \"1407283200000\": -0.5573068479, \"1218758400000\": -0.541496512, \"1341446400000\": -0.5447278899, \"1473292800000\": -0.3744119829, \"1502064000000\": -0.3018734873, \"1376265600000\": -0.5592606607, \"1225065600000\": -0.6900368658, \"1236902400000\": -0.5868669309, \"1480032000000\": -0.3403684333, \"1499817600000\": -0.3146062777, \"1202083200000\": -0.0727125591, \"1236556800000\": -0.5874083038, \"1311724800000\": -0.438011869, \"1279756800000\": -0.4789913605, \"1309737600000\": -0.4151711787, \"1375920000000\": -0.5734993294, \"1488499200000\": -0.3578712619, \"1452816000000\": -0.4157799891, \"1380240000000\": -0.5513592393, \"1367539200000\": -0.5330125059, \"1242950400000\": -0.4865986797, \"1244678400000\": -0.4452089437, \"1451347200000\": -0.2953020449, \"1372118400000\": -0.5943599811, \"1297209600000\": -0.4303502252, \"1261958400000\": -0.3483987352, \"1498435200000\": -0.3128700817, \"1300924800000\": -0.3909349079, \"1462492800000\": -0.4136025087, \"1276041600000\": -0.4788340065, \"1323216000000\": -0.5263961426, \"1439251200000\": -0.2382061263, \"1491868800000\": -0.3411121185, \"1364860800000\": -0.5342338731, \"1283731200000\": -0.4426875323, \"1368662400000\": -0.5218103959, \"1350518400000\": -0.5623908825, \"1255046400000\": -0.4073540541, \"1245024000000\": -0.444354736, \"1478563200000\": -0.3685010902, \"1227484800000\": -0.6557617809, \"1266883200000\": -0.4008126213, \"1332720000000\": -0.5212989952, \"1406160000000\": -0.5809492945, \"1504137600000\": -0.2840216699, \"1331769600000\": -0.5156586016, \"1246492800000\": -0.385127794, \"1214784000000\": -0.477018815, \"1341187200000\": -0.5381958234, \"1402272000000\": -0.6001933207, \"1237161600000\": -0.5800875938, \"1472774400000\": -0.3791794361, \"1223424000000\": -0.6210614655, \"1250553600000\": -0.4058029927, \"1459296000000\": -0.3975072495, \"1237248000000\": -0.5649535056, \"1423785600000\": -0.350009741, \"1345420800000\": -0.5688142997, \"1241740800000\": -0.4775058633, \"1464048000000\": -0.4261155278, \"1411689600000\": -0.5434484516, \"1425600000000\": -0.3483818758, \"1227571200000\": -0.6563893239, \"1320883200000\": -0.4942959155, \"1495756800000\": -0.3480232397, \"1216944000000\": -0.4494106716, \"1312848000000\": -0.4758255468, \"1470096000000\": -0.4026066448, \"1400544000000\": -0.6036607297, \"1489449600000\": -0.352470646, \"1203465600000\": -0.0804678661, \"1247702400000\": -0.3441258233, \"1378166400000\": -0.5589403328, \"1315958400000\": -0.4880167395, \"1478131200000\": -0.3696312295, \"1466467200000\": -0.4181050825, \"1323734400000\": -0.5463089235, \"1275004800000\": -0.4660639757, \"1288569600000\": -0.3494159167, \"1352073600000\": -0.5687974404, \"1342051200000\": -0.541204283, \"1323993600000\": -0.5522658984, \"1272499200000\": -0.4267704204, \"1306972800000\": -0.4463179151, \"1258329600000\": -0.320792465, \"1302566400000\": -0.376808635, \"1255392000000\": -0.4008332272, \"1497916800000\": -0.335648561, \"1289952000000\": -0.4185561642, \"1514332800000\": -0.2523420465, \"1334188800000\": -0.5184891014, \"1369958400000\": -0.5117472294, \"1404432000000\": -0.5918722885, \"1343260800000\": -0.5602534899, \"1506556800000\": -0.2839381599, \"1350950400000\": -0.5668867126, \"1450396800000\": -0.2941709689, \"1374105600000\": -0.5793907401, \"1200441600000\": 0.0313659081, \"1263513600000\": -0.347591359, \"1425945600000\": -0.3404973137, \"1316131200000\": -0.4878518924, \"1502841600000\": -0.3066267225, \"1423180800000\": -0.3794967667, \"1357257600000\": -0.5271117289, \"1369699200000\": -0.5046419446, \"1275868800000\": -0.4950208681, \"1454284800000\": -0.4565575429, \"1247616000000\": -0.3456113205, \"1292371200000\": -0.3916317615, \"1308009600000\": -0.4392276164, \"1274745600000\": -0.4728751583, \"1372636800000\": -0.5853870535, \"1325116800000\": -0.5670215875, \"1222041600000\": -0.5864566864, \"1336435200000\": -0.4925106963, \"1490918400000\": -0.3525919397, \"1269388800000\": -0.3861936804, \"1512518400000\": -0.247731273, \"1427241600000\": -0.2618577519, \"1296086400000\": -0.4330627093, \"1459209600000\": -0.4126553871, \"1434067200000\": -0.000591951, \"1411603200000\": -0.5434915366, \"1288915200000\": -0.3404617218, \"1363737600000\": -0.5110466293, \"1218067200000\": -0.4903901631, \"1462838400000\": -0.4250747432, \"1283472000000\": -0.4529679972, \"1457395200000\": -0.4178512555, \"1413417600000\": -0.5420997025, \"1257379200000\": -0.3510419086, \"1265760000000\": -0.3979090643, \"1428969600000\": -0.168612362, \"1341878400000\": -0.5491600291, \"1250121600000\": -0.3554440756, \"1256515200000\": -0.3604232075, \"1487116800000\": -0.3590233184, \"1433980800000\": -0.005936369, \"1361923200000\": -0.5139483129, \"1359331200000\": -0.5032369977, \"1277769600000\": -0.5144466008, \"1495584000000\": -0.3585636385, \"1487635200000\": -0.3475758109, \"1293667200000\": -0.4260136224, \"1369008000000\": -0.511151532, \"1464307200000\": -0.4263135317, \"1377475200000\": -0.5624770525, \"1397433600000\": -0.5750297849, \"1397001600000\": -0.5806476993, \"1407369600000\": -0.5640056348, \"1336608000000\": -0.5022348022, \"1383696000000\": -0.5591145463, \"1341360000000\": -0.5382557678, \"1211328000000\": -0.2913354114, \"1346716800000\": -0.5870561304, \"1363651200000\": -0.5269824738, \"1473638400000\": -0.3888286115, \"1390176000000\": -0.5942532052, \"1297900800000\": -0.391955836, \"1214956800000\": -0.4942940423, \"1508803200000\": -0.2583013068, \"1220400000000\": -0.5792727245, \"1465344000000\": -0.4073023521, \"1499040000000\": -0.3161006354, \"1407110400000\": -0.5549840023, \"1465948800000\": -0.4162224537, \"1225929600000\": -0.6909528912, \"1512432000000\": -0.2431700098, \"1215734400000\": -0.4467319062, \"1238716800000\": -0.5184778618, \"1491523200000\": -0.3410867545, \"1428537600000\": -0.2015892759, \"1415577600000\": -0.519371408, \"1506470400000\": -0.2841889148, \"1292198400000\": -0.3891178432, \"1389312000000\": -0.5869737069, \"1408406400000\": -0.5551432297, \"1214524800000\": -0.4724855197, \"1438646400000\": -0.2604069101, \"1250812800000\": -0.3998778633, \"1391040000000\": -0.5874232899, \"1200873600000\": -0.0360696704, \"1377129600000\": -0.5684134216, \"1323648000000\": -0.5358636115, \"1409184000000\": -0.5670365736, \"1208304000000\": -0.3454783189, \"1212105600000\": -0.3235030759, \"1305504000000\": -0.4192024397, \"1289865600000\": -0.406261942, \"1450051200000\": -0.304771949, \"1257984000000\": -0.3443599811, \"1423699200000\": -0.3550600568, \"1342656000000\": -0.5458612137, \"1200268800000\": 0.0737091348, \"1255478400000\": -0.3954232449, \"1245715200000\": -0.4223045625, \"1324339200000\": -0.5547123793, \"1217808000000\": -0.4805161962, \"1406073600000\": -0.5882887372, \"1386288000000\": -0.5406216984, \"1512604800000\": -0.2561167829, \"1298332800000\": -0.4073784065, \"1445558400000\": -0.3310127981, \"1266796800000\": -0.3943086537, \"1367798400000\": -0.5268176267, \"1439769600000\": -0.2361075103, \"1321920000000\": -0.5111758844, \"1224460800000\": -0.6446926725, \"1441152000000\": -0.3694912968, \"1487289600000\": -0.3590740838, \"1376352000000\": -0.5580842519, \"1446508800000\": -0.3508221749, \"1230508800000\": -0.6525547555, \"1355184000000\": -0.5769236533, \"1258934400000\": -0.3133537394, \"1415923200000\": -0.5164940767, \"1315353600000\": -0.4794034783, \"1205884800000\": -0.2715144204, \"1326931200000\": -0.5376132387, \"1458086400000\": -0.4211556906, \"1320796800000\": -0.4845437107, \"1255910400000\": -0.3763609252, \"1213228800000\": -0.4221678144, \"1207526400000\": -0.2795769424, \"1300320000000\": -0.4010992305, \"1397606400000\": -0.5817885162, \"1507766400000\": -0.2670010565, \"1500422400000\": -0.3013205377, \"1447977600000\": -0.2929589681, \"1406592000000\": -0.5632731891, \"1344211200000\": -0.5531126131, \"1314835200000\": -0.4690162374, \"1369612800000\": -0.513028541, \"1322611200000\": -0.5276531017, \"1220313600000\": -0.5718827038, \"1230249600000\": -0.6511797808, \"1332115200000\": -0.5073300764, \"1466640000000\": -0.4160446811, \"1309132800000\": -0.4311857003, \"1501545600000\": -0.2937083105, \"1456963200000\": -0.4270772608, \"1439510400000\": -0.2369190076, \"1272326400000\": -0.417713196, \"1211155200000\": -0.2667919255, \"1498089600000\": -0.3274345857, \"1291939200000\": -0.4076781285, \"1484697600000\": -0.3744492608, \"1226275200000\": -0.6624999063, \"1442793600000\": -0.3802784792, \"1398643200000\": -0.6000640656, \"1348444800000\": -0.5849749357, \"1281312000000\": -0.4533370299, \"1375833600000\": -0.5727799966, \"1299110400000\": -0.3964872581, \"1300752000000\": -0.3962549735, \"1346889600000\": -0.5845440854, \"1490745600000\": -0.3508783166, \"1208908800000\": -0.3530256937, \"1362960000000\": -0.5143810366, \"1283904000000\": -0.4415860539, \"1287705600000\": -0.3670882756, \"1393891200000\": -0.5908288812, \"1310428800000\": -0.4273604981, \"1289520000000\": -0.3833538143, \"1231286400000\": -0.6382392831, \"1216684800000\": -0.4558659343, \"1269216000000\": -0.3813306908, \"1284336000000\": -0.4450796886, \"1489622400000\": -0.3478223323, \"1301529600000\": -0.3961931558, \"1497225600000\": -0.3304230201, \"1280707200000\": -0.4535168631, \"1379462400000\": -0.5443270117, \"1400716800000\": -0.6008321032, \"1470614400000\": -0.394152611, \"1277164800000\": -0.4785361577, \"1329091200000\": -0.5256936691, \"1348099200000\": -0.5886409106, \"1466985600000\": -0.4154401792, \"1214179200000\": -0.4773709884, \"1421625600000\": -0.3714904426, \"1479168000000\": -0.3574952981, \"1410393600000\": -0.5460241876, \"1215043200000\": -0.4828652675, \"1337126400000\": -0.5177004578, \"1212364800000\": -0.3207868452, \"1284422400000\": -0.444575781, \"1273795200000\": -0.4627445544, \"1264118400000\": -0.3694223608, \"1339545600000\": -0.5165783736, \"1412899200000\": -0.5379054677, \"1362009600000\": -0.499215103, \"1232668800000\": -0.6192256682, \"1409788800000\": -0.5455052938, \"1505952000000\": -0.281076002, \"1492992000000\": -0.3572351581, \"1484784000000\": -0.3763367602, \"1398038400000\": -0.590270649, \"1500249600000\": -0.3137194939, \"1440460800000\": -0.4299798812, \"1207785600000\": -0.2966423642, \"1321315200000\": -0.4858493747, \"1226361600000\": -0.6663045026, \"1477440000000\": -0.3715578801, \"1321401600000\": -0.4998164203, \"1387756800000\": -0.5720344381, \"1377043200000\": -0.5675404812, \"1295827200000\": -0.446595158, \"1342137600000\": -0.54093266, \"1248998400000\": -0.3004076219, \"1505433600000\": -0.2822975752, \"1483401600000\": -0.3739131331, \"1241654400000\": -0.4816532666, \"1429488000000\": -0.1529256614, \"1511827200000\": -0.2402377732, \"1379980800000\": -0.5421952389, \"1378425600000\": -0.5583259027, \"1469664000000\": -0.3965964693, \"1478476800000\": -0.3712221914, \"1312156800000\": -0.4421948643, \"1434672000000\": -0.1313584151, \"1406678400000\": -0.5650265629, \"1262736000000\": -0.3365409832, \"1437696000000\": -0.2176732955, \"1339027200000\": -0.5237829413, \"1407888000000\": -0.5581160973, \"1401062400000\": -0.596128341, \"1385078400000\": -0.5507991338, \"1422403200000\": -0.3396150071, \"1471219200000\": -0.3643225908, \"1219276800000\": -0.5421783796, \"1206576000000\": -0.2977288565, \"1215388800000\": -0.4599833654, \"1325635200000\": -0.5693837716, \"1351209600000\": -0.5789074384, \"1499731200000\": -0.3123611725, \"1513296000000\": -0.2542811917, \"1380499200000\": -0.5487235589, \"1426464000000\": -0.305830717, \"1319414400000\": -0.5173220588, \"1309478400000\": -0.4287017541, \"1262131200000\": -0.3333320845, \"1305849600000\": -0.4152423627, \"1373846400000\": -0.5677821321, \"1233792000000\": -0.5970668455, \"1381449600000\": -0.5375832665, \"1514246400000\": -0.240650097, \"1279497600000\": -0.497502941, \"1305072000000\": -0.410842069, \"1382486400000\": -0.5469533258, \"1281398400000\": -0.4693721573, \"1311552000000\": -0.4439613508, \"1281916800000\": -0.4526176971, \"1216166400000\": -0.4856770346, \"1303948800000\": -0.4077155938, \"1482969600000\": -0.382242033, \"1423526400000\": -0.3617906891, \"1325203200000\": -0.5605813108, \"1309305600000\": -0.4379893898, \"1447891200000\": -0.2928491949, \"1339113600000\": -0.527126715, \"1375401600000\": -0.5790292004, \"1286928000000\": -0.3972627888, \"1218153600000\": -0.5145515035, \"1239840000000\": -0.4966337472, \"1451865600000\": -0.3501528582, \"1400457600000\": -0.6037787452, \"1511308800000\": -0.2080657815, \"1461110400000\": -0.4041103127, \"1395273600000\": -0.6090557258, \"1480291200000\": -0.3377865155, \"1473724800000\": -0.3892540294, \"1216598400000\": -0.4546839057, \"1303862400000\": -0.3987763849, \"1223942400000\": -0.6375948807, \"1284508800000\": -0.4542830275, \"1497398400000\": -0.3377457346, \"1510099200000\": -0.2417022524, \"1474848000000\": -0.3967562586, \"1401321600000\": -0.5962819485, \"1444608000000\": -0.3541565823, \"1277856000000\": -0.5198696959, \"1336348800000\": -0.490888451, \"1377820800000\": -0.5665439055, \"1494806400000\": -0.3632417745, \"1235433600000\": -0.5688030602, \"1437609600000\": -0.203712619, \"1303257600000\": -0.3826176222, \"1384819200000\": -0.548139101, \"1487548800000\": -0.34971695, \"1277683200000\": -0.4910757772, \"1210032000000\": -0.2486549975, \"1355875200000\": -0.5558288437, \"1265587200000\": -0.4097368441, \"1314144000000\": -0.4736094772, \"1410307200000\": -0.5443419978, \"1390435200000\": -0.581908405, \"1444780800000\": -0.3619457953, \"1454371200000\": -0.4452643923, \"1248912000000\": -0.3191027822, \"1304380800000\": -0.3984710431, \"1359504000000\": -0.4963340252, \"1469750400000\": -0.3998197921, \"1460073600000\": -0.4032298793, \"1322006400000\": -0.5159470841, \"1443139200000\": -0.3945707232, \"1451520000000\": -0.3010848063, \"1309392000000\": -0.4297620207, \"1429660800000\": -0.1121091438, \"1405641600000\": -0.5945997587, \"1221782400000\": -0.6116520677, \"1478044800000\": -0.3755756536, \"1343779200000\": -0.5581629289, \"1248825600000\": -0.3333976487, \"1418083200000\": -0.4179941854, \"1479254400000\": -0.3575473748, \"1447632000000\": -0.2948803735, \"1372032000000\": -0.5932753621, \"1283299200000\": -0.4597435878, \"1415664000000\": -0.520705171, \"1304640000000\": -0.415279828, \"1331251200000\": -0.5009066591, \"1510790400000\": -0.2310234383, \"1260403200000\": -0.3298890279, \"1401840000000\": -0.6013191515, \"1494892800000\": -0.3577240047, \"1482710400000\": -0.3776270634, \"1318291200000\": -0.5219452708, \"1277424000000\": -0.487421042, \"1256601600000\": -0.3790659164, \"1349740800000\": -0.5653731164, \"1378684800000\": -0.542809669, \"1437350400000\": -0.220608136, \"1235606400000\": -0.5897199098, \"1439942400000\": -0.2720246971, \"1438128000000\": -0.2637368216, \"1463616000000\": -0.4263133444, \"1245369600000\": -0.4230351349, \"1401235200000\": -0.5936237889, \"1236297600000\": -0.5716635321, \"1499904000000\": -0.3093429906, \"1244419200000\": -0.447672284, \"1314748800000\": -0.4667233641, \"1238371200000\": -0.534589793, \"1512086400000\": -0.2510440629, \"1469145600000\": -0.3958424811, \"1269820800000\": -0.3708572799, \"1467936000000\": -0.402002143, \"1422576000000\": -0.3566485834, \"1334793600000\": -0.5136898027, \"1449446400000\": -0.3092143912, \"1467072000000\": -0.4124697468, \"1359936000000\": -0.4852218318, \"1278460800000\": -0.5166083458, \"1222214400000\": -0.5993372397, \"1370304000000\": -0.5193826476, \"1465171200000\": -0.4045295488, \"1482364800000\": -0.3751410567, \"1299456000000\": -0.3753587298, \"1273449600000\": -0.4645784785, \"1256256000000\": -0.3606086605, \"1476748800000\": -0.3778273152, \"1416787200000\": -0.5037240459, \"1315180800000\": -0.4860104753, \"1279670400000\": -0.4853510869, \"1498176000000\": -0.3213388769, \"1294876800000\": -0.411555782, \"1396915200000\": -0.5808912234, \"1309910400000\": -0.4167203669, \"1355702400000\": -0.5566549525, \"1436486400000\": -0.230734244, \"1363132800000\": -0.526534764, \"1225411200000\": -0.6883528028, \"1439424000000\": -0.2365587792, \"1290556800000\": -0.4048569951, \"1376611200000\": -0.568374083, \"1339459200000\": -0.5241575938, \"1466380800000\": -0.4169144369, \"1378339200000\": -0.5613306159, \"1361232000000\": -0.4969147366, \"1261353600000\": -0.3637238961, \"1442880000000\": -0.3745120151, \"1229558400000\": -0.6168990761, \"1199404800000\": 0.0272316177, \"1425513600000\": -0.3450437219, \"1416268800000\": -0.5239253093, \"1252540800000\": -0.4075039151, \"1386201600000\": -0.5376413377, \"1323907200000\": -0.5615085758, \"1374451200000\": -0.5874719947, \"1345766400000\": -0.5737053883, \"1279065600000\": -0.5029091767, \"1409702400000\": -0.5487610242, \"1305158400000\": -0.4189888878, \"1245801600000\": -0.4154053366, \"1344297600000\": -0.5525019295, \"1338940800000\": -0.5209318357, \"1322697600000\": -0.5160220146, \"1343088000000\": -0.5549146916, \"1503014400000\": -0.302270619, \"1392768000000\": -0.5675273684, \"1479427200000\": -0.3598209536, \"1508284800000\": -0.2611547914, \"1433203200000\": -0.0330462246, \"1469059200000\": -0.3907170474, \"1203552000000\": -0.0865915613, \"1425254400000\": -0.325387578, \"1460678400000\": -0.3870300921, \"1286496000000\": -0.4297357951, \"1251158400000\": -0.4174471927, \"1232323200000\": -0.6230115318, \"1235692800000\": -0.5990300247, \"1337040000000\": -0.5096978802, \"1348617600000\": -0.5907127389, \"1236124800000\": -0.5719314086, \"1321488000000\": -0.5013337629, \"1288137600000\": -0.3623657807, \"1270080000000\": -0.364600583, \"1462406400000\": -0.3979484029, \"1373414400000\": -0.5833732963, \"1371686400000\": -0.565127719, \"1486944000000\": -0.3562954734, \"1212451200000\": -0.3229823089, \"1237852800000\": -0.5407172348, \"1342569600000\": -0.5477307297, \"1358121600000\": -0.517123493, \"1274054400000\": -0.4914616693, \"1219881600000\": -0.562430221, \"1287532800000\": -0.3636751913, \"1397779200000\": -0.5832964925, \"1336003200000\": -0.4958076384, \"1237334400000\": -0.5630334115, \"1261612800000\": -0.3558187281, \"1322524800000\": -0.5113463513, \"1405555200000\": -0.5959241553, \"1396483200000\": -0.5944367849, \"1350345600000\": -0.569494294, \"1479945600000\": -0.3464674015, \"1328486400000\": -0.5308751133, \"1456444800000\": -0.4477563934, \"1488412800000\": -0.3565163311, \"1425340800000\": -0.3428782304, \"1346112000000\": -0.5806870378, \"1394496000000\": -0.6049926193, \"1256774400000\": -0.391742284, \"1349913600000\": -0.5686756783, \"1340582400000\": -0.5398293083, \"1231113600000\": -0.6472721551, \"1271376000000\": -0.3712712709, \"1467158400000\": -0.4096619136, \"1480377600000\": -0.3323617345, \"1287014400000\": -0.3960339285, \"1331510400000\": -0.502761189, \"1395014400000\": -0.5985523427, \"1226966400000\": -0.6553534097, \"1302739200000\": -0.3717901646, \"1242864000000\": -0.4848509258, \"1254096000000\": -0.4431464816, \"1475193600000\": -0.3905743048, \"1269302400000\": -0.3863997392, \"1372377600000\": -0.5877623504, \"1404172800000\": -0.5945210817, \"1408579200000\": -0.5589890377, \"1377734400000\": -0.56571967, \"1499990400000\": -0.3063132694, \"1425427200000\": -0.3385847127, \"1261440000000\": -0.3807855714, \"1354665600000\": -0.5864061083, \"1483574400000\": -0.3691246993, \"1225843200000\": -0.6831526259, \"1316563200000\": -0.4809170744, \"1343692800000\": -0.5629828334, \"1389139200000\": -0.5800313959, \"1372982400000\": -0.5828525293, \"1383091200000\": -0.5490176611, \"1327881600000\": -0.539042538, \"1460505600000\": -0.3890573368, \"1358899200000\": -0.5115542834, \"1478649600000\": -0.3718847644, \"1338508800000\": -0.5067699709, \"1211760000000\": -0.333264647, \"1235952000000\": -0.5945004758, \"1436140800000\": -0.2509690387, \"1244592000000\": -0.4399694284, \"1280188800000\": -0.4762882427, \"1275609600000\": -0.4859036993, \"1286755200000\": -0.413125576, \"1410739200000\": -0.5434503248, \"1419206400000\": -0.3641247743, \"1226016000000\": -0.6856983897, \"1432166400000\": -0.0931573466, \"1436313600000\": -0.3138168099, \"1302652800000\": -0.3683302487, \"1421107200000\": -0.3417280472, \"1340841600000\": -0.5455970837, \"1480896000000\": -0.35008898, \"1440633600000\": -0.3994998389, \"1218499200000\": -0.5421446608, \"1285632000000\": -0.460329919, \"1504224000000\": -0.282439606, \"1505779200000\": -0.2821440427, \"1472083200000\": -0.3801426677, \"1463011200000\": -0.4211362087, \"1316476800000\": -0.4961204733, \"1220918400000\": -0.5992810418, \"1489536000000\": -0.3511685412, \"1317168000000\": -0.5109679522, \"1446076800000\": -0.3381188323, \"1240358400000\": -0.517395116, \"1361491200000\": -0.5135886465, \"1339718400000\": -0.5189368111, \"1417996800000\": -0.390650172, \"1434585600000\": -0.0763787212, \"1302220800000\": -0.3718276299, \"1206403200000\": -0.2683467334, \"1268956800000\": -0.3829716688, \"1338854400000\": -0.5206620859, \"1217894400000\": -0.4936421469, \"1481241600000\": -0.3455382633, \"1368748800000\": -0.514440981, \"1252972800000\": -0.3813288175, \"1249516800000\": -0.3138014492, \"1351123200000\": -0.5707905917, \"1432684800000\": -0.0293821231, \"1302480000000\": -0.3755610421, \"1466726400000\": -0.4235680781, \"1331164800000\": -0.5062473306, \"1421798400000\": -0.3351997273, \"1248307200000\": -0.3158901369, \"1395619200000\": -0.5922750399, \"1283385600000\": -0.4527469522, \"1308700800000\": -0.4551466015, \"1387238400000\": -0.5585881595, \"1361404800000\": -0.5109754453, \"1248048000000\": -0.3272889395, \"1235347200000\": -0.5484538091, \"1265241600000\": -0.3970342507, \"1281657600000\": -0.4650805128, \"1305244800000\": -0.4140266153, \"1490313600000\": -0.3463063571, \"1280275200000\": -0.4635500573, \"1368576000000\": -0.5303861918, \"1358380800000\": -0.5218010295, \"1392336000000\": -0.5699775958, \"1303084800000\": -0.3706886862, \"1249344000000\": -0.2906666567, \"1346284800000\": -0.5857523397, \"1219968000000\": -0.5519830357, \"1249948800000\": -0.3337966536, \"1390521600000\": -0.5793251759, \"1317254400000\": -0.5151640603, \"1353888000000\": -0.5924529998, \"1269993600000\": -0.3732794083, \"1295308800000\": -0.4422079771, \"1306368000000\": -0.4420712289, \"1268179200000\": -0.3856279551, \"1452729600000\": -0.3965151697, \"1443571200000\": -0.4000037465, \"1232496000000\": -0.6212806372, \"1419465600000\": -0.3751882629, \"1316044800000\": -0.4887772841, \"1278633600000\": -0.5041286707, \"1231977600000\": -0.6338015241, \"1489104000000\": -0.3578658294, \"1386806400000\": -0.5485418524, \"1392681600000\": -0.5724390628, \"1358208000000\": -0.513727268, \"1308268800000\": -0.4582224986, \"1242259200000\": -0.4768727006, \"1412812800000\": -0.5350637284, \"1264723200000\": -0.3997767071, \"1350259200000\": -0.5701124707, \"1427414400000\": -0.2559963134, \"1356652800000\": -0.5354215215, \"1277078400000\": -0.4791093761, \"1393459200000\": -0.5964786411, \"1353628800000\": -0.5892534674, \"1445904000000\": -0.3269594326, \"1504569600000\": -0.2774739429, \"1367971200000\": -0.523666799, \"1426032000000\": -0.3397405157, \"1459900800000\": -0.3897794795, \"1488931200000\": -0.3539621376, \"1483056000000\": -0.3799349229, \"1448409600000\": -0.2916057232, \"1447372800000\": -0.2982305162, \"1425859200000\": -0.3372865417, \"1347408000000\": -0.5653899758, \"1508976000000\": -0.2518985141, \"1495411200000\": -0.3609854298, \"1405987200000\": -0.5892497209, \"1228176000000\": -0.6499565403, \"1298851200000\": -0.3931453577, \"1373241600000\": -0.5946971684, \"1440979200000\": -0.3693594191, \"1204761600000\": -0.122370876, \"1349827200000\": -0.5646313045, \"1252022400000\": -0.423570888, \"1463097600000\": -0.4239839424, \"1386028800000\": -0.5424031711, \"1243209600000\": -0.4843432716, \"1508457600000\": -0.2643975213, \"1260489600000\": -0.3303048922, \"1242777600000\": -0.4730755974, \"1427328000000\": -0.2600612932, \"1230681600000\": -0.6594933199, \"1397692800000\": -0.5832365481, \"1432857600000\": -0.0931854455, \"1304985600000\": -0.4093191065, \"1394668800000\": -0.5990599969, \"1432598400000\": -0.0261057869, \"1348531200000\": -0.5859808777, \"1269907200000\": -0.3693268244, \"1497312000000\": -0.3289472639, \"1229385600000\": -0.6263871509, \"1367884800000\": -0.5260758147, \"1434499200000\": -0.0373620342, \"1272585600000\": -0.4254010655, \"1199836800000\": 0.0516046367, \"1229040000000\": -0.6327693564, \"1232582400000\": -0.6170021055, \"1426636800000\": -0.2795319841, \"1351036800000\": -0.5676922155, \"1352419200000\": -0.5802168489, \"1207612800000\": -0.2711023026, \"1453248000000\": -0.4053556576, \"1421020800000\": -0.3418142173, \"1209081600000\": -0.2875851398, \"1487808000000\": -0.349355223, \"1455494400000\": -0.4480044134, \"1294704000000\": -0.4146204395, \"1329782400000\": -0.5199858381, \"1310688000000\": -0.4138767543, \"1513814400000\": -0.237985175, \"1384387200000\": -0.5683066456, \"1353456000000\": -0.5888376031, \"1365379200000\": -0.5368733, \"1372723200000\": -0.5837648081, \"1396396800000\": -0.5914920162, \"1290038400000\": -0.4103044426, \"1453939200000\": -0.4654165761, \"1262563200000\": -0.3377586039, \"1389830400000\": -0.5856642964, \"1467331200000\": -0.4091355268, \"1488326400000\": -0.3521437617, \"1421193600000\": -0.3439047783, \"1288828800000\": -0.3480090966, \"1221004800000\": -0.598526117, \"1352937600000\": -0.5890773807, \"1486512000000\": -0.3662213297, \"1354233600000\": -0.5991855054, \"1431388800000\": -0.110683591, \"1214870400000\": -0.4945282001, \"1303171200000\": -0.3826082558, \"1440720000000\": -0.3739020808, \"1324512000000\": -0.5614055464, \"1231804800000\": -0.6485403538, \"1239321600000\": -0.5137890856, \"1481673600000\": -0.3670348876, \"1481760000000\": -0.374249009, \"1501632000000\": -0.2954935859, \"1424995200000\": -0.3307132634, \"1285804800000\": -0.4500906659, \"1512000000000\": -0.2495524214, \"1471824000000\": -0.3749306893, \"1205452800000\": -0.2211217845, \"1438560000000\": -0.2826837483, \"1461542400000\": -0.4076682002, \"1227830400000\": -0.6572079396, \"1473206400000\": -0.3741772631, \"1295568000000\": -0.4411196116, \"1331856000000\": -0.5085458237, \"1387497600000\": -0.5732445657, \"1363219200000\": -0.525264692, \"1508716800000\": -0.2636583132, \"1280966400000\": -0.4659646927, \"1251936000000\": -0.4282877631, \"1365984000000\": -0.5435196355, \"1408060800000\": -0.5577901496, \"1214265600000\": -0.4657605071, \"1505260800000\": -0.2801789902, \"1365465600000\": -0.5336644013, \"1230595200000\": -0.6565485512, \"1463702400000\": -0.4233689503, \"1486080000000\": -0.369742314, \"1330041600000\": -0.5039563305, \"1301443200000\": -0.3900507279, \"1289174400000\": -0.3352596717, \"1389916800000\": -0.591911627, \"1415232000000\": -0.5305472924, \"1430092800000\": -0.0994121702, \"1327968000000\": -0.5383794031, \"1239753600000\": -0.4966562264, \"1340150400000\": -0.5218291285, \"1252627200000\": -0.3934132342, \"1449619200000\": -0.3188933514, \"1293494400000\": -0.4296046667, \"1262822400000\": -0.3497043992, \"1334016000000\": -0.5279771762, \"1246838400000\": -0.3678207213, \"1291075200000\": -0.4123594116, \"1437091200000\": -0.2223158021, \"1263168000000\": -0.3477206141, \"1305676800000\": -0.4119117019, \"1246406400000\": -0.3934563193, \"1279843200000\": -0.476782784, \"1365724800000\": -0.5387821546, \"1276214400000\": -0.4831912151, \"1298246400000\": -0.3897079209, \"1227744000000\": -0.64961186, \"1388448000000\": -0.5635242063, \"1203033600000\": -0.098340664, \"1289779200000\": -0.3790340709, \"1279152000000\": -0.5113557176, \"1478217600000\": -0.371674959, \"1200960000000\": -0.1094753366, \"1326412800000\": -0.5514791281, \"1329177600000\": -0.5275425793, \"1464220800000\": -0.4259928292, \"1497484800000\": -0.3389644979, \"1383523200000\": -0.5540792165, \"1251676800000\": -0.4698161205, \"1248739200000\": -0.2964363053, \"1324857600000\": -0.5624620664, \"1314576000000\": -0.4655937868, \"1357689600000\": -0.5267895277, \"1379894400000\": -0.5368751733, \"1351641600000\": -0.5776130139, \"1296172800000\": -0.4311388687, \"1273708800000\": -0.4592059615, \"1473033600000\": -0.3781367781, \"1247184000000\": -0.3634073147, \"1224115200000\": -0.6588976225, \"1366761600000\": -0.5325123448, \"1344988800000\": -0.5632263576, \"1445817600000\": -0.327637179, \"1438041600000\": -0.2860822212, \"1383264000000\": -0.5532343751, \"1396310400000\": -0.5947908315, \"1358985600000\": -0.5161831152, \"1497571200000\": -0.3408436613, \"1436745600000\": -0.2110170317, \"1347580800000\": -0.5662385637, \"1268265600000\": -0.3861861873, \"1413936000000\": -0.5469252269, \"1476144000000\": -0.3805950606, \"1417132800000\": -0.4738342687, \"1470873600000\": -0.3943067805, \"1407715200000\": -0.556907843, \"1334102400000\": -0.5279303446, \"1428451200000\": -0.1952838742, \"1483488000000\": -0.3690267277, \"1314921600000\": -0.4747652802, \"1233705600000\": -0.5941745281, \"1408320000000\": -0.5551825682, \"1503619200000\": -0.2889555437, \"1394755200000\": -0.6023363331, \"1462924800000\": -0.4225089355, \"1319500800000\": -0.5081880306, \"1250208000000\": -0.3734948335, \"1205280000000\": -0.1926894056, \"1333670400000\": -0.5279696831, \"1513641600000\": -0.2440768562, \"1413158400000\": -0.5401234105, \"1203638400000\": -0.1191469912, \"1235088000000\": -0.5608473141, \"1447804800000\": -0.3039743138, \"1323302400000\": -0.5270012064, \"1510876800000\": -0.2280564526, \"1477872000000\": -0.375027537, \"1423440000000\": -0.3732213372, \"1471564800000\": -0.3696434057, \"1479686400000\": -0.3553895637, \"1251072000000\": -0.3950111272, \"1273104000000\": -0.4573420652, \"1452470400000\": -0.4019702975, \"1206489600000\": -0.2667357276, \"1404345600000\": -0.5915931723, \"1419811200000\": -0.3527016192, \"1376956800000\": -0.5668136553, \"1246924800000\": -0.3742385188, \"1387929600000\": -0.5681923766, \"1414368000000\": -0.5562559476, \"1264464000000\": -0.3925384206, \"1508112000000\": -0.2669087796, \"1376006400000\": -0.571770308, \"1287446400000\": -0.3676483811, \"1506038400000\": -0.2810923369, \"1217203200000\": -0.4453550582, \"1492560000000\": -0.3544969353, \"1446422400000\": -0.3488610564, \"1459468800000\": -0.396454476, \"1218585600000\": -0.5420491244, \"1470960000000\": -0.382903482, \"1228348800000\": -0.6285451494, \"1259020800000\": -0.3353514615, \"1298937600000\": -0.3902736462, \"1295395200000\": -0.4296196528, \"1304899200000\": -0.4137137805, \"1206662400000\": -0.2660257611, \"1458604800000\": -0.3957248402, \"1477958400000\": -0.3707613688, \"1301616000000\": -0.3869317458, \"1449187200000\": -0.3110904636, \"1276819200000\": -0.4949365713, \"1316390400000\": -0.498102385, \"1420588800000\": -0.3174224657, \"1366070400000\": -0.5392542167, \"1495497600000\": -0.3585585619, \"1394064000000\": -0.5928220326, \"1239580800000\": -0.5023640573, \"1282608000000\": -0.4545377912, \"1356566400000\": -0.5420641105, \"1442448000000\": -0.3936251002, \"1456099200000\": -0.415754138, \"1291248000000\": -0.4089744262, \"1217980800000\": -0.4901560053, \"1311811200000\": -0.4415804341, \"1456704000000\": -0.4609748833, \"1238112000000\": -0.5318848018, \"1458172800000\": -0.4147545651, \"1313452800000\": -0.4572071903, \"1345593600000\": -0.5699757225, \"1228089600000\": -0.6507845224, \"1481587200000\": -0.3621473583, \"1306108800000\": -0.433716478, \"1484265600000\": -0.3780933184, \"1508889600000\": -0.2550130379, \"1395100800000\": -0.5994721146, \"1237420800000\": -0.5536839581, \"1325808000000\": -0.5709104805, \"1232064000000\": -0.6271814142, \"1504051200000\": -0.2817348472, \"1416873600000\": -0.4969241029, \"1489017600000\": -0.3580434147, \"1261094400000\": -0.3646380482, \"1501027200000\": -0.3058834681, \"1244764800000\": -0.4555755787, \"1414108800000\": -0.5521572492, \"1261699200000\": -0.3584487887, \"1315267200000\": -0.48985441, \"1399852800000\": -0.591619398, \"1270166400000\": -0.3617138854, \"1273190400000\": -0.4685947534, \"1323820800000\": -0.5508890504, \"1306195200000\": -0.4331095409, \"1493251200000\": -0.3543388133, \"1328140800000\": -0.534261972, \"1308787200000\": -0.4459582487, \"1233532800000\": -0.6146586541, \"1496188800000\": -0.3456910278, \"1278028800000\": -0.5252946642, \"1307404800000\": -0.4372232255, \"1509667200000\": -0.2520628555, \"1338422400000\": -0.5069498041, \"1217548800000\": -0.4678454483, \"1275523200000\": -0.4874603805, \"1418256000000\": -0.4037386574, \"1259712000000\": -0.3261256435, \"1264032000000\": -0.3614853473, \"1399420800000\": -0.5996238489, \"1362528000000\": -0.5035479593, \"1219795200000\": -0.5644121327, \"1394409600000\": -0.6070288557, \"1430697600000\": -0.1031305964, \"1357862400000\": -0.534825824, \"1397174400000\": -0.5746438928, \"1438819200000\": -0.2821935155, \"1509580800000\": -0.2512318013, \"1326672000000\": -0.5605981702, \"1461628800000\": -0.4044596762, \"1493942400000\": -0.366359539, \"1452211200000\": -0.3702909926, \"1435708800000\": -0.2032975041, \"1413504000000\": -0.5425998636, \"1390262400000\": -0.5902406768, \"1324598400000\": -0.5580673925, \"1325721600000\": -0.5735723866, \"1473120000000\": -0.3738383899, \"1393977600000\": -0.5946297309, \"1312934400000\": -0.470968177, \"1290643200000\": -0.3961575639, \"1315440000000\": -0.4837082356, \"1206057600000\": -0.2436084282, \"1296518400000\": -0.4235446623, \"1513555200000\": -0.2534502874, \"1364774400000\": -0.5329600545, \"1376524800000\": -0.5651071132, \"1492041600000\": -0.3416294762, \"1317081600000\": -0.5058558187, \"1459123200000\": -0.4062267247, \"1445990400000\": -0.3396899376, \"1350604800000\": -0.5630671302, \"1360022400000\": -0.4807915658, \"1452124800000\": -0.3828753831, \"1470787200000\": -0.3924370771, \"1259280000000\": -0.3663670695, \"1423612800000\": -0.3566991615, \"1262044800000\": -0.3442194864, \"1367452800000\": -0.541118113, \"1199232000000\": 0.0087706153, \"1319155200000\": -0.5302082319, \"1290470400000\": -0.4179436073, \"1329955200000\": -0.5117790749, \"1320105600000\": -0.4946818076, \"1427155200000\": -0.255743423, \"1416182400000\": -0.519114771, \"1211846400000\": -0.3300838472, \"1219708800000\": -0.5632432169, \"1488758400000\": -0.3543830597, \"1322784000000\": -0.5209486951, \"1396569600000\": -0.5906040897, \"1267401600000\": -0.3772488517, \"1311292800000\": -0.4252849232, \"1271289600000\": -0.3641079149, \"1511481600000\": -0.2311749477, \"1393804800000\": -0.5896861911, \"1377216000000\": -0.5715979679, \"1260144000000\": -0.3127318162, \"1503360000000\": -0.2970960684, \"1201651200000\": -0.1175715774, \"1352160000000\": -0.5706088853, \"1207872000000\": -0.2912080296, \"1435276800000\": -0.1877168301, \"1404777600000\": -0.591540721, \"1429056000000\": -0.1794154672, \"1331596800000\": -0.4977651978, \"1491436800000\": -0.3417267547, \"1503878400000\": -0.2801591711, \"1461715200000\": -0.4069408124, \"1319587200000\": -0.5032763362, \"1393286400000\": -0.5957668013, \"1265673600000\": -0.4063275062, \"1330992000000\": -0.5090085196, \"1352246400000\": -0.5714911919, \"1501113600000\": -0.3046084694, \"1263859200000\": -0.3429569075, \"1318896000000\": -0.5144110088, \"1478736000000\": -0.3648493522, \"1362096000000\": -0.5000561979, \"1397088000000\": -0.5740650547, \"1399248000000\": -0.5960365511, \"1208822400000\": -0.3825202125, \"1384214400000\": -0.5616565635, \"1311206400000\": -0.4269427606, \"1344384000000\": -0.552327716, \"1410998400000\": -0.5487947429, \"1205193600000\": -0.1680503833, \"1230163200000\": -0.6495556621, \"1395360000000\": -0.5956000809, \"1400803200000\": -0.5975464007, \"1256083200000\": -0.3688435226, \"1369267200000\": -0.5161643825, \"1238544000000\": -0.5226514907, \"1476835200000\": -0.3787809931, \"1281484800000\": -0.466080835, \"1474243200000\": -0.3887312018, \"1219104000000\": -0.5600699102, \"1474416000000\": -0.388073312, \"1398729600000\": -0.5956618986, \"1244505600000\": -0.4454093828, \"1310601600000\": -0.4163382213, \"1473811200000\": -0.3933008385, \"1236816000000\": -0.584941217, \"1199318400000\": 0.0156885738, \"1429747200000\": -0.1119068314, \"1327017600000\": -0.5309181984, \"1497830400000\": -0.3343051882, \"1312329600000\": -0.4464752692, \"1467590400000\": -0.3996763002, \"1388966400000\": -0.5806439527, \"1456272000000\": -0.4175005807, \"1458518400000\": -0.3912951363, \"1513123200000\": -0.2413113025, \"1259193600000\": -0.3470237605, \"1407974400000\": -0.5624152349, \"1435104000000\": -0.085824273, \"1392595200000\": -0.5669672629, \"1358294400000\": -0.5172433818, \"1435536000000\": -0.2148128236, \"1280448000000\": -0.4625890736, \"1494201600000\": -0.3708062335, \"1447286400000\": -0.289036169, \"1405382400000\": -0.5925691421, \"1489363200000\": -0.3522074526, \"1305590400000\": -0.4162857699, \"1245628800000\": -0.4225555797, \"1399507200000\": -0.5999647827, \"1387411200000\": -0.5630783698, \"1318809600000\": -0.5004102445, \"1200009600000\": 0.0676004256, \"1490140800000\": -0.3537150168, \"1405468800000\": -0.593339053, \"1334707200000\": -0.5129685966, \"1401148800000\": -0.5977580794, \"1418342400000\": -0.4018241831, \"1501718400000\": -0.3016802416, \"1306886400000\": -0.4372400848, \"1505347200000\": -0.2825487985, \"1358812800000\": -0.5135324487, \"1220486400000\": -0.5783005013, \"1468972800000\": -0.3935115805, \"1302048000000\": -0.3797496572, \"1363564800000\": -0.5312179204, \"1340928000000\": -0.5388758177, \"1476921600000\": -0.3783383412, \"1207094400000\": -0.3353701941, \"1283990400000\": -0.4517972081, \"1504742400000\": -0.2825645526, \"1311120000000\": -0.4208677701, \"1361836800000\": -0.5190211079, \"1207699200000\": -0.3091164195, \"1309996800000\": -0.4189739017, \"1477353600000\": -0.3691872663, \"1482451200000\": -0.3803998666, \"1292284800000\": -0.3875424294, \"1386892800000\": -0.5491731419, \"1366329600000\": -0.5253471156, \"1260921600000\": -0.3329836577, \"1431302400000\": -0.1213405816, \"1292976000000\": -0.3976617937, \"1409270400000\": -0.5619768914, \"1464134400000\": -0.4269266505, \"1362614400000\": -0.5093026218, \"1464825600000\": -0.4067190181, \"1444953600000\": -0.337976839, \"1355443200000\": -0.5586836959, \"1329696000000\": -0.5240583109, \"1496966400000\": -0.3300894108, \"1368403200000\": -0.5259203339, \"1470355200000\": -0.3995987472, \"1496361600000\": -0.3468856261, \"1410912000000\": -0.5501678443, \"1243814400000\": -0.4645578726, \"1300147200000\": -0.3998141724, \"1253750400000\": -0.4228609215, \"1291161600000\": -0.4125411181, \"1313625600000\": -0.4690705621, \"1248220800000\": -0.3243291847, \"1297641600000\": -0.3969705598, \"1263772800000\": -0.344230726, \"1399593600000\": -0.6002626314, \"1205712000000\": -0.257198948, \"1231372800000\": -0.646329904, \"1289433600000\": -0.3424885918, \"1269561600000\": -0.3865065152, \"1359676800000\": -0.4861041384, \"1229904000000\": -0.6220599144, \"1294790400000\": -0.4113572162, \"1512345600000\": -0.2471625505, \"1455840000000\": -0.4283580104, \"1250726400000\": -0.4109731974, \"1375142400000\": -0.5898697708, \"1499126400000\": -0.3218819358, \"1264377600000\": -0.3765763504, \"1324252800000\": -0.5533374046, \"1341792000000\": -0.5474122751, \"1448236800000\": -0.2969018111, \"1458691200000\": -0.3937950051, \"1502928000000\": -0.3029071161, \"1227225600000\": -0.6401949692, \"1502323200000\": -0.303910473, \"1467244800000\": -0.4091877908, \"1449100800000\": -0.2976578598, \"1431907200000\": -0.1429561582, \"1245196800000\": -0.4360374503, \"1393372800000\": -0.5947365069, \"1228262400000\": -0.6342136418, \"1242086400000\": -0.4776294986, \"1464566400000\": -0.4255247008, \"1439164800000\": -0.2348912009, \"1379289600000\": -0.5357324831, \"1273017600000\": -0.4312044329, \"1402444800000\": -0.5952310482, \"1500336000000\": -0.3130407734, \"1361318400000\": -0.4937245705, \"1401926400000\": -0.5971361562, \"1282780800000\": -0.4661033142, \"1301356800000\": -0.3896948081, \"1241395200000\": -0.4915403463, \"1292457600000\": -0.3948106881, \"1438300800000\": -0.2850320703, \"1330300800000\": -0.502354691, \"1224720000000\": -0.656297534, \"1352678400000\": -0.5781693729, \"1239667200000\": -0.498551968, \"1201564800000\": -0.1079373881, \"1409097600000\": -0.5639794091, \"1447718400000\": -0.2959554388, \"1484611200000\": -0.3768861881, \"1398384000000\": -0.5939085248, \"1410825600000\": -0.5525225353, \"1493856000000\": -0.3622690455, \"1370476800000\": -0.5264673266, \"1486684800000\": -0.3605642641, \"1346025600000\": -0.5825996388, \"1502409600000\": -0.316755528, \"1387152000000\": -0.5564264145, \"1287619200000\": -0.3678319609, \"1406851200000\": -0.5636422218, \"1501200000000\": -0.3027920229, \"1302825600000\": -0.3707823494, \"1486425600000\": -0.3695188338, \"1214352000000\": -0.443727193, \"1268092800000\": -0.380725627, \"1213660800000\": -0.4674914017, \"1204070400000\": -0.1308492623, \"1477267200000\": -0.3691642252, \"1366675200000\": -0.5411499584, \"1235001600000\": -0.5694474625, \"1262908800000\": -0.3480802805, \"1454457600000\": -0.4476424991, \"1317340800000\": -0.5164453719, \"1441843200000\": -0.3710406723, \"1330473600000\": -0.5065564189, \"1404691200000\": -0.5923237447, \"1261008000000\": -0.348076534, \"1430784000000\": -0.1388911784, \"1280102400000\": -0.4734146579, \"1221091200000\": -0.6118356474, \"1231459200000\": -0.6406389324, \"1257206400000\": -0.3564537641, \"1337817600000\": -0.5138396637, \"1503273600000\": -0.2992135856, \"1304467200000\": -0.4138505286, \"1442275200000\": -0.4095041849, \"1435017600000\": -0.1034394974, \"1210204800000\": -0.2647369565, \"1435795200000\": -0.2304644942, \"1395964800000\": -0.5968795192, \"1205798400000\": -0.2949133429, \"1291766400000\": -0.4058235986, \"1332806400000\": -0.5228538031, \"1511395200000\": -0.2315134088, \"1343001600000\": -0.5568928569, \"1437523200000\": -0.2212547862, \"1428019200000\": -0.2187483609, \"1249430400000\": -0.29922372, \"1258588800000\": -0.3176753561, \"1386633600000\": -0.5404287523, \"1217289600000\": -0.455699214, \"1202169600000\": -0.0780120189, \"1287964800000\": -0.3479023206, \"1244073600000\": -0.4466850746, \"1271116800000\": -0.3646417947, \"1511136000000\": -0.2237512083, \"1285545600000\": -0.4558116097, \"1314057600000\": -0.4715526349, \"1403481600000\": -0.6002251662, \"1450137600000\": -0.3079439445, \"1423008000000\": -0.3627591659, \"1235520000000\": -0.5683534771, \"1297382400000\": -0.4153622515, \"1294272000000\": -0.408116472, \"1344902400000\": -0.5584682707, \"1492646400000\": -0.3515611583, \"1451001600000\": -0.2810041811, \"1225324800000\": -0.6819837101, \"1421884800000\": -0.3316929798, \"1243900800000\": -0.4632915471, \"1395187200000\": -0.6027053658, \"1402963200000\": -0.5935638445, \"1494374400000\": -0.3747610279, \"1381363200000\": -0.5449245824, \"1385510400000\": -0.5477045041, \"1381881600000\": -0.5464138262, \"1329868800000\": -0.5134237994, \"1334534400000\": -0.5178147268, \"1353024000000\": -0.5921457848, \"1300060800000\": -0.3887694164, \"1274918400000\": -0.4642506575, \"1481068800000\": -0.3489013315, \"1255996800000\": -0.3672924612, \"1299542400000\": -0.3748061173, \"1221609600000\": -0.6386214286, \"1348012800000\": -0.5792202732, \"1296432000000\": -0.4236889035, \"1341964800000\": -0.5456270559, \"1203292800000\": -0.0800426355, \"1453075200000\": -0.4135322613, \"1421712000000\": -0.3637988266, \"1290729600000\": -0.4015207145, \"1484524800000\": -0.3781806125, \"1249862400000\": -0.3360145965, \"1291593600000\": -0.4070056273, \"1398211200000\": -0.5888806882, \"1371772800000\": -0.5658920102, \"1442361600000\": -0.3800909656, \"1384473600000\": -0.5596465528, \"1374537600000\": -0.5755468053, \"1431648000000\": -0.1350266378, \"1204848000000\": -0.134236121, \"1507507200000\": -0.2727605896, \"1344816000000\": -0.5594217613, \"1372896000000\": -0.5837648081, \"1368489600000\": -0.5329319556, \"1444348800000\": -0.3743085788, \"1210809600000\": -0.2604190863, \"1407456000000\": -0.5633181474, \"1417737600000\": -0.4146260593, \"1250640000000\": -0.4352918918, \"1330560000000\": -0.5067044067, \"1462752000000\": -0.4257298231, \"1257465600000\": -0.3475389077, \"1448841600000\": -0.3319173966, \"1307577600000\": -0.4470335014, \"1488153600000\": -0.3544319519, \"1457049600000\": -0.4204331732, \"1293580800000\": -0.426438853, \"1406246400000\": -0.5765583671, \"1376438400000\": -0.5599556411, \"1418688000000\": -0.3811864496, \"1206921600000\": -0.289934211, \"1249603200000\": -0.3340364312, \"1364169600000\": -0.5104977633, \"1234742400000\": -0.5387559289, \"1403049600000\": -0.5953303311, \"1411516800000\": -0.5425755112, \"1227052800000\": -0.634121852, \"1435881600000\": -0.2720657215, \"1208217600000\": -0.3287538308, \"1443052800000\": -0.38463344, \"1284681600000\": -0.463990274, \"1503532800000\": -0.3004027889, \"1417392000000\": -0.4717755532, \"1203897600000\": -0.1533265396, \"1510272000000\": -0.2297310744, \"1424131200000\": -0.3401769858, \"1371600000000\": -0.5502746203, \"1347840000000\": -0.5768843148, \"1315872000000\": -0.4904201353, \"1297814400000\": -0.3914650412, \"1438732800000\": -0.2756281049, \"1510185600000\": -0.2364769551, \"1469491200000\": -0.3875203249, \"1293408000000\": -0.4193429344, \"1372291200000\": -0.595236668, \"1494288000000\": -0.3719826611, \"1498694400000\": -0.3127322096, \"1399334400000\": -0.5958754505, \"1255564800000\": -0.3931303716, \"1292544000000\": -0.3957491926, \"1279238400000\": -0.5099301648, \"1343606400000\": -0.5624452071, \"1205971200000\": -0.2503521734, \"1320019200000\": -0.4950976719, \"1461024000000\": -0.3933808268, \"1404950400000\": -0.5985879347, \"1234396800000\": -0.5657140502, \"1335916800000\": -0.4973118682, \"1464652800000\": -0.4062581955, \"1350432000000\": -0.5689997527, \"1304035200000\": -0.4019197195, \"1357516800000\": -0.5249424908, \"1288051200000\": -0.3507122144, \"1449705600000\": -0.3213012431, \"1251417600000\": -0.4292581131, \"1482278400000\": -0.3746045543, \"1228780800000\": -0.6176952127, \"1422230400000\": -0.3241287456, \"1300838400000\": -0.3883928906, \"1253059200000\": -0.3896461032, \"1335484800000\": -0.5080512824, \"1255651200000\": -0.3927426062, \"1445212800000\": -0.3379549218, \"1424044800000\": -0.3444555175, \"1351728000000\": -0.5695467454, \"1316649600000\": -0.4968997505, \"1393200000000\": -0.5851641353, \"1311638400000\": -0.442185498, \"1271030400000\": -0.3721798032, \"1362355200000\": -0.5231198064, \"1485388800000\": -0.3653459541, \"1314316800000\": -0.4565253228, \"1458259200000\": -0.4058080505, \"1363910400000\": -0.5095217935, \"1219017600000\": -0.5666394419, \"1458777600000\": -0.4039557685, \"1314230400000\": -0.456034528, \"1232409600000\": -0.6206287418, \"1299628800000\": -0.3745438606, \"1500595200000\": -0.3015357756, \"1420502400000\": -0.3179338663, \"1392249600000\": -0.5729804356, \"1201824000000\": -0.1435556022, \"1344470400000\": -0.5482252711, \"1357603200000\": -0.5269393887, \"1499299200000\": -0.3143677926, \"1474588800000\": -0.3863815686, \"1465776000000\": -0.4255938242, \"1430265600000\": -0.1056426415, \"1271808000000\": -0.3936848573, \"1248393600000\": -0.3129697206, \"1225756800000\": -0.6950778153, \"1347494400000\": -0.5694380962, \"1382054400000\": -0.5455371393, \"1221177600000\": -0.6107641413, \"1434412800000\": -0.0512260503, \"1294358400000\": -0.4068089347, \"1337299200000\": -0.5178259664, \"1331683200000\": -0.5119945001, \"1360108800000\": -0.4800122886, \"1437004800000\": -0.251190271, \"1265328000000\": -0.4093434589, \"1372204800000\": -0.5938204815, \"1369785600000\": -0.5049791319, \"1262217600000\": -0.3301812569, \"1260748800000\": -0.3232370726, \"1287360000000\": -0.3806694291, \"1472428800000\": -0.3803657732, \"1322179200000\": -0.5185771447, \"1364342400000\": -0.5160370007, \"1297296000000\": -0.4185093326, \"1486598400000\": -0.3637853391, \"1221523200000\": -0.6252257281, \"1224547200000\": -0.6475625108, \"1216252800000\": -0.4908341263, \"1259884800000\": -0.3174786635, \"1228694400000\": -0.6075440029, \"1362700800000\": -0.5116535663, \"1358467200000\": -0.513805945, \"1270771200000\": -0.3669927392, \"1274659200000\": -0.4617236263, \"1210291200000\": -0.2733764433, \"1406505600000\": -0.5646725162, \"1438214400000\": -0.2852731591, \"1275264000000\": -0.4804955903, \"1201219200000\": -0.0488640536, \"1207008000000\": -0.3288362544, \"1352332800000\": -0.579375754, \"1468800000000\": -0.3889376353, \"1415059200000\": -0.529217276, \"1336521600000\": -0.5021786043, \"1335398400000\": -0.5070528335, \"1374710400000\": -0.5808237859, \"1389225600000\": -0.5837198498, \"1413763200000\": -0.5401683688, \"1208476800000\": -0.3869748308, \"1230076800000\": -0.6465003709, \"1423094400000\": -0.3692818661, \"1447113600000\": -0.2819338813, \"1459814400000\": -0.3884760635, \"1496793600000\": -0.3380130304, \"1237766400000\": -0.5430363338, \"1356307200000\": -0.5539349753, \"1259625600000\": -0.3329630518, \"1240963200000\": -0.5119457953, \"1506384000000\": -0.2842672921, \"1320278400000\": -0.4859205587, \"1474934400000\": -0.3929215028, \"1461196800000\": -0.4079360768, \"1463529600000\": -0.4252763062, \"1210118400000\": -0.2841664356, \"1313712000000\": -0.4740515672, \"1330905600000\": -0.5012063811, \"1493683200000\": -0.3581122384, \"1430352000000\": -0.1102208951, \"1494979200000\": -0.3612239148, \"1332979200000\": -0.5423394801, \"1225670400000\": -0.6902485445, \"1298592000000\": -0.4010018208, \"1303430400000\": -0.3818345984, \"1273536000000\": -0.4753328788, \"1253664000000\": -0.4267685472, \"1288742400000\": -0.3592805173, \"1441584000000\": -0.3910988183, \"1223510400000\": -0.6262279236, \"1257120000000\": -0.3644394824, \"1366243200000\": -0.5382688806, \"1411430400000\": -0.5505181444, \"1482105600000\": -0.376394082, \"1448496000000\": -0.2957602449, \"1360281600000\": -0.4807821995, \"1275955200000\": -0.4943427471, \"1439856000000\": -0.2833998966, \"1390953600000\": -0.5826783159, \"1378857600000\": -0.534889515, \"1267747200000\": -0.3893613673, \"1323129600000\": -0.5286234517, \"1342396800000\": -0.5504675663, \"1204588800000\": -0.1249709644, \"1310083200000\": -0.4175689548, \"1310342400000\": -0.41681403, \"1226534400000\": -0.6489356122, \"1403568000000\": -0.598218902, \"1373328000000\": -0.5948751283, \"1489968000000\": -0.3537969159, \"1386720000000\": -0.5480267052, \"1493078400000\": -0.3554151712, \"1457913600000\": -0.4257157736, \"1400198400000\": -0.5980072233, \"1333584000000\": -0.5292809669, \"1298419200000\": -0.4052878455, \"1334620800000\": -0.5238391392, \"1505174400000\": -0.2810541785, \"1330387200000\": -0.5012513394, \"1402617600000\": -0.592333111, \"1233878400000\": -0.5808987164, \"1513209600000\": -0.2457960991, \"1326758400000\": -0.5390650172, \"1295222400000\": -0.4428261537, \"1419897600000\": -0.3523101074, \"1468368000000\": -0.3850326322, \"1341273600000\": -0.537543928, \"1220832000000\": -0.6016469724, \"1405900800000\": -0.594195134, \"1239148800000\": -0.5355526499, \"1498003200000\": -0.3278818271, \"1258416000000\": -0.320314783, \"1240272000000\": -0.4988198446, \"1456876800000\": -0.4284052167, \"1420761600000\": -0.3356062252, \"1328572800000\": -0.5395614318, \"1389744000000\": -0.5862075425, \"1223251200000\": -0.6012386012, \"1472688000000\": -0.3815279453, \"1402358400000\": -0.5951373851, \"1247443200000\": -0.370394584, \"1384300800000\": -0.5713750496, \"1333929600000\": -0.5325928951, \"1359417600000\": -0.4987392943, \"1453680000000\": -0.4138775036, \"1343347200000\": -0.5599500214, \"1401753600000\": -0.5972635381, \"1400112000000\": -0.5983575234, \"1265068800000\": -0.4106360101, \"1305763200000\": -0.4154221959, \"1463961600000\": -0.4216820774, \"1253232000000\": -0.4006140555, \"1453852800000\": -0.4510681343, \"1204675200000\": -0.1329192174, \"1366588800000\": -0.5259390665, \"1509926400000\": -0.2467818099, \"1461283200000\": -0.405257686, \"1398124800000\": -0.5884816832, \"1392940800000\": -0.5758390343, \"1379030400000\": -0.5337636842, \"1258502400000\": -0.3199626097, \"1385942400000\": -0.5468971279, \"1234483200000\": -0.5505912017, \"1429228800000\": -0.1390223068, \"1257811200000\": -0.3436500146, \"1222300800000\": -0.5834744524, \"1330646400000\": -0.4979787497, \"1227657600000\": -0.6546640491, \"1275436800000\": -0.4834422323, \"1498608000000\": -0.3169772661, \"1272412800000\": -0.4197850244, \"1480636800000\": -0.3389340761, \"1354838400000\": -0.5791228635, \"1351555200000\": -0.5804116682, \"1368057600000\": -0.5264785661, \"1364515200000\": -0.5326060079, \"1510012800000\": -0.2405331867, \"1318464000000\": -0.5012251137, \"1468281600000\": -0.3868470743, \"1500940800000\": -0.3032289427, \"1416528000000\": -0.5160501135, \"1240876800000\": -0.5282132073, \"1320364800000\": -0.482277063, \"1347926400000\": -0.581280862, \"1452643200000\": -0.408821006, \"1264550400000\": -0.4008238609, \"1328832000000\": -0.5253864541, \"1246320000000\": -0.4068370337, \"1231200000000\": -0.636062552, \"1414022400000\": -0.5511775328, \"1243987200000\": -0.4493750796, \"1359590400000\": -0.4966768322, \"1213920000000\": -0.4661819912, \"1237939200000\": -0.5501678443, \"1373932800000\": -0.5658058401, \"1378080000000\": -0.5653393977, \"1382918400000\": -0.5567954472, \"1209945600000\": -0.2402459219, \"1446163200000\": -0.3379742164, \"1291852800000\": -0.4149107952, \"1494460800000\": -0.3712120945, \"1418947200000\": -0.3662434342, \"1239062400000\": -0.5172696074, \"1490227200000\": -0.3514805893, \"1303776000000\": -0.3947563635, \"1479081600000\": -0.3574244888, \"1260230400000\": -0.3211259057, \"1404864000000\": -0.5974902028, \"1263254400000\": -0.337816675, \"1311897600000\": -0.4432513843, \"1288224000000\": -0.363523457, \"1258070400000\": -0.3408513604, \"1466553600000\": -0.4129268229, \"1213315200000\": -0.4419326075, \"1450915200000\": -0.2826524648, \"1281571200000\": -0.472416209, \"1199923200000\": 0.0625426167, \"1386115200000\": -0.5363412935, \"1300233600000\": -0.3915268588, \"1499212800000\": -0.3144459451, \"1229299200000\": -0.6300250268, \"1268870400000\": -0.3879002225, \"1273622400000\": -0.4720846415, \"1505865600000\": -0.2802109856, \"1345075200000\": -0.5654649063, \"1383782400000\": -0.5615535341, \"1211500800000\": -0.3115479143, \"1234828800000\": -0.5531725575, \"1202947200000\": -0.0858010445, \"1295913600000\": -0.449513701, \"1363305600000\": -0.524215665, \"1213747200000\": -0.4396565935, \"1408665600000\": -0.5569059697, \"1381190400000\": -0.5425848775, \"1251331200000\": -0.4087421417, \"1452556800000\": -0.3976130889, \"1457481600000\": -0.4245511663, \"1247529600000\": -0.3528346209, \"1251763200000\": -0.4673003289, \"1510531200000\": -0.2267034888, \"1434326400000\": -0.0219377777, \"1403740800000\": -0.5974208921, \"1248134400000\": -0.3368969031, \"1402531200000\": -0.5966097694, \"1407801600000\": -0.5584626509, \"1334275200000\": -0.5166139655, \"1382572800000\": -0.5503214519, \"1263340800000\": -0.3591306563, \"1450224000000\": -0.3096203271, \"1437955200000\": -0.2846514233, \"1506297600000\": -0.2848274163, \"1424908800000\": -0.3319383772, \"1219363200000\": -0.5494934698, \"1310515200000\": -0.4181178207, \"1512691200000\": -0.2500619675, \"1282521600000\": -0.4574675738, \"1359072000000\": -0.5182586901, \"1431993600000\": -0.1137182763, \"1444262400000\": -0.3824823726, \"1270512000000\": -0.3621260031, \"1294617600000\": -0.4177544078, \"1371168000000\": -0.5472755269, \"1245888000000\": -0.4159317233, \"1355270400000\": -0.5751871389, \"1335139200000\": -0.5118202867, \"1432252800000\": -0.0724840211, \"1446681600000\": -0.3057745191, \"1205107200000\": -0.1698468421, \"1505692800000\": -0.2800784522, \"1259798400000\": -0.3273338978, \"1453420800000\": -0.4167666364, \"1384732800000\": -0.5450032595, \"1443484800000\": -0.4045171853, \"1201737600000\": -0.1344777719, \"1236211200000\": -0.5682279686, \"1221696000000\": -0.644831294, \"1372809600000\": -0.5871647797, \"1428364800000\": -0.2019826611, \"1288310400000\": -0.366841005, \"1470182400000\": -0.4017722937, \"1448928000000\": -0.3271810396, \"1444867200000\": -0.3468280045, \"1267488000000\": -0.3797178117, \"1297987200000\": -0.3983305484, \"1385337600000\": -0.5525468878, \"1485302400000\": -0.3676045468, \"1224806400000\": -0.6662595443, \"1388361600000\": -0.5692507699, \"1460592000000\": -0.3863506598, \"1495065600000\": -0.3634442742, \"1294099200000\": -0.4024891913, \"1267660800000\": -0.3910828956, \"1479772800000\": -0.3502843613, \"1353974400000\": -0.5971286632, \"1371081600000\": -0.5504282278, \"1236038400000\": -0.5987190631, \"1271980800000\": -0.4024292469, \"1403654400000\": -0.6003637876, \"1231891200000\": -0.6337322134, \"1324425600000\": -0.5618232839, \"1393545600000\": -0.5918217104, \"1403222400000\": -0.5997343714, \"1278288000000\": -0.5293146856, \"1397520000000\": -0.5823636078, \"1462320000000\": -0.3987836906, \"1495152000000\": -0.3623696771, \"1416441600000\": -0.5247345587, \"1228435200000\": -0.6228785302, \"1446768000000\": -0.2894014552, \"1290124800000\": -0.4045179346, \"1514160000000\": -0.242913429, \"1323388800000\": -0.5310362139, \"1366848000000\": -0.5377012821, \"1411344000000\": -0.5543658257, \"1413331200000\": -0.5384524603, \"1264982400000\": -0.4094146429, \"1430179200000\": -0.1117251249, \"1449532800000\": -0.321313232, \"1467676800000\": -0.3991729546, \"1354492800000\": -0.6049570274, \"1242000000000\": -0.489476011, \"1487894400000\": -0.3492563148, \"1465862400000\": -0.4237876245, \"1485129600000\": -0.3698193051, \"1363824000000\": -0.5101437167, \"1253491200000\": -0.3989449785, \"1427932800000\": -0.2273204103, \"1476403200000\": -0.3807278749, \"1219190400000\": -0.5255138359, \"1278892800000\": -0.4986737301, \"1413244800000\": -0.5416950778, \"1410220800000\": -0.541946095, \"1398816000000\": -0.5956263066, \"1242691200000\": -0.46797845, \"1245283200000\": -0.4272630885, \"1319673600000\": -0.5021842241, \"1442534400000\": -0.3909512053, \"1447027200000\": -0.2806006804, \"1353283200000\": -0.5925672689, \"1415318400000\": -0.5312816113, \"1452038400000\": -0.3369010243, \"1224633600000\": -0.6565710304, \"1482796800000\": -0.3787540181, \"1280793600000\": -0.4631285732, \"1471305600000\": -0.367166016, \"1432080000000\": -0.1092786441, \"1475020800000\": -0.3947694763, \"1496275200000\": -0.3447818024, \"1223337600000\": -0.6061559154, \"1484870400000\": -0.371541208, \"1484092800000\": -0.3753615397, \"1451433600000\": -0.2946838682, \"1320624000000\": -0.487428535, \"1370563200000\": -0.5346516106, \"1271635200000\": -0.4049731374, \"1213833600000\": -0.4805293091, \"1400025600000\": -0.5930580636, \"1450656000000\": -0.275803255, \"1445472000000\": -0.3397622455, \"1285718400000\": -0.4614726092, \"1373587200000\": -0.5737634594, \"1483920000000\": -0.3698530238, \"1270598400000\": -0.365535341, \"1414627200000\": -0.5375045895, \"1301011200000\": -0.3828573998, \"1418860800000\": -0.3732194639, \"1241568000000\": -0.4820466517, \"1229472000000\": -0.6250814869, \"1218412800000\": -0.5397749837, \"1277942400000\": -0.5268007673, \"1380067200000\": -0.5449789071, \"1484006400000\": -0.3709074833, \"1220572800000\": -0.5909862353, \"1492128000000\": -0.3468861693, \"1371513600000\": -0.546904621, \"1407196800000\": -0.556158538, \"1238630400000\": -0.5173726369, \"1468195200000\": -0.3999321879, \"1208131200000\": -0.337552545, \"1215648000000\": -0.442942296, \"1431475200000\": -0.1161123058, \"1250035200000\": -0.3635777816, \"1470268800000\": -0.4003145208, \"1326153600000\": -0.5415470901, \"1476316800000\": -0.3813276936, \"1306713600000\": -0.4465427066, \"1395878400000\": -0.5961789191, \"1245974400000\": -0.4139647977, \"1226448000000\": -0.6624718074, \"1347235200000\": -0.5641536225, \"1431043200000\": -0.1460919997, \"1216339200000\": -0.4725904224, \"1329436800000\": -0.524736432, \"1417564800000\": -0.4440999723, \"1464739200000\": -0.4079465671, \"1480550400000\": -0.3321751575, \"1456185600000\": -0.4212811992, \"1243382400000\": -0.4830338611, \"1373500800000\": -0.564149876, \"1238457600000\": -0.5302250912, \"1215129600000\": -0.486379508, \"1222128000000\": -0.6022164442, \"1313971200000\": -0.4796470024, \"1493164800000\": -0.3546267337, \"1513036800000\": -0.2476947069, \"1289347200000\": -0.3445248282, \"1234310400000\": -0.5633162742, \"1325030400000\": -0.5676641165, \"1338336000000\": -0.5050353297, \"1469577600000\": -0.3971385915, \"1481500800000\": -0.3613712657, \"1228953600000\": -0.6166667916, \"1513728000000\": -0.2449834404, \"1219622400000\": -0.5503139588, \"1456358400000\": -0.4532414935, \"1236643200000\": -0.5802430745, \"1261526400000\": -0.3749896971, \"1394582400000\": -0.6039679447, \"1328054400000\": -0.5449864001, \"1199750400000\": 0.0355489034, \"1396224000000\": -0.5979397858, \"1481846400000\": -0.373200544, \"1430956800000\": -0.1626347812, \"1374019200000\": -0.5723641323, \"1384905600000\": -0.5457619308, \"1204243200000\": -0.1243340552, \"1337212800000\": -0.5103404093, \"1344556800000\": -0.5504638198, \"1421971200000\": -0.3309211956, \"1250467200000\": -0.4117449815, \"1378252800000\": -0.5596521726, \"1491350400000\": -0.3436288093, \"1458000000000\": -0.424012978, \"1503446400000\": -0.296386027, \"1461801600000\": -0.407940198, \"1253577600000\": -0.4134758761, \"1427760000000\": -0.2411038762, \"1504656000000\": -0.2788969668, \"1376870400000\": -0.5632619495, \"1307923200000\": -0.4473219839, \"1391990400000\": -0.5752320972, \"1382400000000\": -0.5418205864, \"1308528000000\": -0.4614557498, \"1268784000000\": -0.3867088276, \"1451952000000\": -0.348333171, \"1295481600000\": -0.4483785039, \"1236729600000\": -0.5840645301, \"1500508800000\": -0.2979228703, \"1420416000000\": -0.3178439497, \"1332288000000\": -0.5152389908, \"1292803200000\": -0.4045535266, \"1412035200000\": -0.5408652225, \"1282176000000\": -0.4463759863, \"1375228800000\": -0.5891897765, \"1318377600000\": -0.5045670141, \"1248652800000\": -0.2987198124, \"1381276800000\": -0.5403800475, \"1269475200000\": -0.3950991705, \"1293148800000\": -0.4074945488, \"1200355200000\": 0.0670946447, \"1208390400000\": -0.3655952854, \"1501459200000\": -0.2997982122, \"1420675200000\": -0.333257154, \"1435622400000\": -0.1620900365, \"1311033600000\": -0.4202008887, \"1341532800000\": -0.5368152289, \"1409875200000\": -0.5411892969, \"1207180800000\": -0.3161280412, \"1495670400000\": -0.3470447223, \"1277251200000\": -0.4832605259, \"1375056000000\": -0.5923836891, \"1204156800000\": -0.1341668103, \"1252368000000\": -0.4059940655, \"1428624000000\": -0.1861760717, \"1422835200000\": -0.3717152341, \"1413849600000\": -0.5441621646, \"1455667200000\": -0.4261597368, \"1491782400000\": -0.3433954008, \"1505088000000\": -0.2833561934, \"1472169600000\": -0.3804952157, \"1478822400000\": -0.3598647879, \"1351814400000\": -0.567881415, \"1411948800000\": -0.5414627933, \"1240531200000\": -0.518030152, \"1299801600000\": -0.3916804664, \"1265932800000\": -0.390949894, \"1282694400000\": -0.4674277108, \"1350864000000\": -0.5613587148, \"1322438400000\": -0.5179496017, \"1421280000000\": -0.3248536982, \"1487203200000\": -0.3554229078, \"1511913600000\": -0.240625651, \"1312416000000\": -0.4454562144, \"1368144000000\": -0.5240339585, \"1418169600000\": -0.3965191035, \"1358726400000\": -0.5109098811, \"1251244800000\": -0.4057280622, \"1492473600000\": -0.3513373409, \"1242604800000\": -0.4735064478, \"1411084800000\": -0.5456944934, \"1511222400000\": -0.2099137737, \"1364947200000\": -0.5347658796, \"1312761600000\": -0.4766291764, \"1278979200000\": -0.5064721221, \"1212624000000\": -0.3420839671, \"1257724800000\": -0.3451467514, \"1474502400000\": -0.3834866287, \"1287100800000\": -0.3766381681, \"1215993600000\": -0.4425414178, \"1224201600000\": -0.6565822699, \"1490832000000\": -0.3562049949, \"1441065600000\": -0.370193583, \"1489708800000\": -0.3545102542, \"1387843200000\": -0.5713506972, \"1419379200000\": -0.3948631394, \"1244160000000\": -0.4493900657, \"1238025600000\": -0.5354702264, \"1487721600000\": -0.3462768907, \"1370217600000\": -0.5124609425, \"1514505600000\": -0.2449150475, \"1454630400000\": -0.4448045063, \"1274140800000\": -0.4808533835, \"1343865600000\": -0.562615674, \"1426118400000\": -0.3269667384, \"1386547200000\": -0.5408877017, \"1222387200000\": -0.5797035749, \"1453161600000\": -0.3962240647, \"1458864000000\": -0.4009649175, \"1486339200000\": -0.3681101403, \"1422921600000\": -0.3560753651, \"1332201600000\": -0.5158646605, \"1240790400000\": -0.5291947968, \"1426809600000\": -0.27081944, \"1350000000000\": -0.5683010258, \"1457654400000\": -0.4345961621, \"1484179200000\": -0.3785219209, \"1346198400000\": -0.5851079374, \"1252454400000\": -0.401509475, \"1379376000000\": -0.545299235, \"1234915200000\": -0.5736754161, \"1384992000000\": -0.548545599, \"1299715200000\": -0.3855211791, \"1262649600000\": -0.3323617345, \"1336694400000\": -0.5060356519, \"1223856000000\": -0.6280655942, \"1351468800000\": -0.581166593, \"1454544000000\": -0.4408760874, \"1216857600000\": -0.4422623017, \"1329264000000\": -0.5223911072, \"1383609600000\": -0.5534572934, \"1468886400000\": -0.3915204897, \"1403827200000\": -0.5971998471, \"1212537600000\": -0.33556876, \"1488240000000\": -0.3531980338, \"1430870400000\": -0.1470417438, \"1377648000000\": -0.563893239, \"1443398400000\": -0.3925474123, \"1394150400000\": -0.5938092419, \"1280880000000\": -0.4611691406, \"1308873600000\": -0.4328753831, \"1342483200000\": -0.5477569554, \"1313366400000\": -0.4534044674, \"1309824000000\": -0.4150737691, \"1382313600000\": -0.5370568797, \"1426723200000\": -0.280715886, \"1260316800000\": -0.3341525735, \"1502150400000\": -0.300858535, \"1274832000000\": -0.4728751583, \"1313539200000\": -0.4593745551, \"1336089600000\": -0.4912443708, \"1268697600000\": -0.3998122991, \"1306800000000\": -0.4377290063, \"1266969600000\": -0.3922237125, \"1338249600000\": -0.5034261972, \"1272931200000\": -0.4343777396, \"1264636800000\": -0.3993252508, \"1504483200000\": -0.2796151007, \"1419984000000\": -0.3380433398, \"1426204800000\": -0.3223173007, \"1402012800000\": -0.6001108971, \"1241481600000\": -0.4891594296, \"1455753600000\": -0.4279620027, \"1313107200000\": -0.4613677065, \"1277337600000\": -0.4834478521, \"1328659200000\": -0.5263942693, \"1304553600000\": -0.414395648, \"1210550400000\": -0.2685059607, \"1282867200000\": -0.4645147875, \"1296000000000\": -0.4420618626, \"1352851200000\": -0.5835531295, \"1294963200000\": -0.4208134455, \"1490659200000\": -0.3500136186, \"1258675200000\": -0.3198164952, \"1227139200000\": -0.6380051252, \"1504828800000\": -0.2832917157, \"1494547200000\": -0.3658296867, \"1321574400000\": -0.5117341166, \"1366934400000\": -0.5415545831, \"1329350400000\": -0.5249275047, \"1433376000000\": -0.0293839963, \"1470009600000\": -0.4049002675, \"1228867200000\": -0.6072911125, \"1340668800000\": -0.5401290303, \"1260835200000\": -0.3287463378, \"1433808000000\": -0.0039001326, \"1513900800000\": -0.2404672666, \"1496707200000\": -0.3456915711, \"1476057600000\": -0.3829718561, \"1408924800000\": -0.5611208104, \"1374796800000\": -0.5833845358, \"1201478400000\": -0.113594641, \"1300665600000\": -0.3992240947, \"1354752000000\": -0.5872078647, \"1417478400000\": -0.4522692703, \"1378944000000\": -0.5302869089, \"1299024000000\": -0.3924447575, \"1256688000000\": -0.3763290798, \"1499385600000\": -0.3151484561, \"1200614400000\": 0.0142723874, \"1389052800000\": -0.5807638415, \"1374624000000\": -0.5786751538, \"1479859200000\": -0.3490920296, \"1390348800000\": -0.5796773493, \"1449014400000\": -0.3027801089, \"1461888000000\": -0.4086587815, \"1410480000000\": -0.5432311531, \"1465257600000\": -0.4048543726, \"1440547200000\": -0.4332084492, \"1506643200000\": -0.2813225796, \"1453334400000\": -0.4227831811, \"1223596800000\": -0.642776325, \"1356048000000\": -0.5556621234, \"1435190400000\": -0.1183459841, \"1363046400000\": -0.5212652765, \"1482192000000\": -0.3801254337, \"1203379200000\": -0.0594817057, \"1381968000000\": -0.5479199293, \"1377561600000\": -0.5614917164, \"1388620800000\": -0.5650321827, \"1210723200000\": -0.2552320223, \"1467849600000\": -0.3986913388, \"1421366400000\": -0.3190409645, \"1447200000000\": -0.2818574522, \"1313020800000\": -0.4629506133, \"1391731200000\": -0.5855444076, \"1369872000000\": -0.5065227002, \"1356393600000\": -0.5413503975, \"1383004800000\": -0.5556527571, \"1265846400000\": -0.3967345287, \"1291334400000\": -0.4083937148, \"1415836800000\": -0.5167450939, \"1403136000000\": -0.6015739152, \"1446595200000\": -0.3202795657, \"1267056000000\": -0.3832976165, \"1210896000000\": -0.2626613816, \"1240185600000\": -0.4927823194, \"1319760000000\": -0.492529429, \"1247011200000\": -0.3720318155, \"1259107200000\": -0.3200750054, \"1302134400000\": -0.3772488517, \"1437436800000\": -0.2195976981, \"1471392000000\": -0.3681395506, \"1346803200000\": -0.5879047184, \"1395705600000\": -0.5926702983, \"1448323200000\": -0.2967980323, \"1217462400000\": -0.4745105165, \"1355356800000\": -0.5798946477, \"1340064000000\": -0.5207032977, \"1263945600000\": -0.3641341406, \"1345161600000\": -0.5666244558, \"1442188800000\": -0.3853578306, \"1453766400000\": -0.4491654615, \"1357776000000\": -0.5259577991, \"1387324800000\": -0.5584289322, \"1414972800000\": -0.5293334183, \"1274400000000\": -0.4813329387, \"1209427200000\": -0.2924799748, \"1385424000000\": -0.5527735525, \"1354579200000\": -0.6007197075, \"1476662400000\": -0.3859672029, \"1270684800000\": -0.3730677297, \"1265155200000\": -0.3948013218, \"1354147200000\": -0.603677589, \"1246233600000\": -0.4043081292, \"1428883200000\": -0.1718175143, \"1312502400000\": -0.4572371625, \"1346630400000\": -0.5825677934, \"1348790400000\": -0.5704402916, \"1306281600000\": -0.4398308069, \"1284076800000\": -0.4506563912, \"1346371200000\": -0.5869699604, \"1316736000000\": -0.4999363091, \"1436918400000\": -0.2569218924, \"1476230400000\": -0.3818214856, \"1210636800000\": -0.2784773373, \"1334880000000\": -0.5079239006, \"1473379200000\": -0.3784432439, \"1249257600000\": -0.2905898529, \"1257292800000\": -0.3529957215, \"1381708800000\": -0.5368283417, \"1472515200000\": -0.379577879, \"1502755200000\": -0.3057582967, \"1415145600000\": -0.5310380872, \"1356480000000\": -0.5396232494, \"1496880000000\": -0.3329352151, \"1364428800000\": -0.5318154911, \"1511740800000\": -0.2413385023, \"1241049600000\": -0.5086563462, \"1293753600000\": -0.4139947699, \"1460419200000\": -0.3970998149, \"1365638400000\": -0.5358280195, \"1271721600000\": -0.4055444825, \"1440115200000\": -0.3275856643, \"1466035200000\": -0.4202861221, \"1365552000000\": -0.5344361854, \"1315526400000\": -0.4846467401, \"1406764800000\": -0.5597364694, \"1312243200000\": -0.4461924065, \"1433116800000\": -0.0490982114, \"1268352000000\": -0.3943498655, \"1220227200000\": -0.567431832, \"1440374400000\": -0.386406483, \"1307664000000\": -0.4451527458, \"1321228800000\": -0.4848153338, \"1292889600000\": -0.3912814614, \"1237507200000\": -0.5541934855, \"1275350400000\": -0.4859467844}, \"benchmark_annualized_return\": -0.02844, \"turnover_rate\": 32.73738, \"max_drawdown\": 0.67581, \"beta\": 1.01861, \"sharpe\": 0.14353, \"alpha\": 0.10646, \"volatility\": 0.29146, \"annualized_return\": 0.07683, \"cumulative_return\": {\"1243296000000\": -0.265460322, \"1355097600000\": -0.2550183578, \"1283126400000\": -0.1085624672, \"1402876800000\": -0.1980828119, \"1255305600000\": -0.1306815478, \"1308096000000\": -0.0643755063, \"1282003200000\": -0.0955992243, \"1361145600000\": -0.1101704335, \"1298505600000\": -0.0145241124, \"1240444800000\": -0.3168199234, \"1348185600000\": -0.3024589386, \"1246579200000\": -0.1042843516, \"1429833600000\": 0.9672193702, \"1348704000000\": -0.2963402986, \"1213056000000\": -0.3088435409, \"1419552000000\": 0.3942676294, \"1408492800000\": -0.094375634, \"1254182400000\": -0.1778307931, \"1324944000000\": -0.2560831862, \"1477526400000\": 0.7615770113, \"1460937600000\": 0.5909638359, \"1216080000000\": -0.3665743874, \"1355961600000\": -0.2205326414, \"1509062400000\": 1.1028021495, \"1498780800000\": 0.9480579727, \"1211414400000\": -0.2033500417, \"1208736000000\": -0.3097408394, \"1286841600000\": -0.0429573592, \"1375660800000\": -0.2552135611, \"1206316800000\": -0.1676063085, \"1321833600000\": -0.1679117016, \"1483660800000\": 0.8099916044, \"1354060800000\": -0.3109181607, \"1510617600000\": 1.0907522823, \"1205366400000\": -0.1020725334, \"1307059200000\": -0.0610734363, \"1202860800000\": -0.0352214867, \"1356912000000\": -0.1787812414, \"1493337600000\": 0.8679238379, \"1339632000000\": -0.1905955395, \"1247788800000\": -0.0546060162, \"1487030400000\": 0.8811962244, \"1204502400000\": 0.0020945561, \"1471478400000\": 0.7577224553, \"1316995200000\": -0.1720232291, \"1272240000000\": -0.0500212937, \"1347321600000\": -0.262120807, \"1466121600000\": 0.5517262697, \"1345507200000\": -0.2541837572, \"1448582400000\": 0.7112271319, \"1445385600000\": 0.6232912373, \"1326326400000\": -0.2074294684, \"1371427200000\": -0.2125482972, \"1474329600000\": 0.7054198742, \"1290384000000\": -0.0304069048, \"1320192000000\": -0.1300467104, \"1257897600000\": -0.0273222438, \"1293062400000\": -0.0309863156, \"1375315200000\": -0.2643828511, \"1471910400000\": 0.7482571253, \"1297728000000\": -0.0101853569, \"1209513600000\": -0.1576284994, \"1211241600000\": -0.2114326017, \"1353369600000\": -0.3000227661, \"1229644800000\": -0.5169072983, \"1401408000000\": -0.2125576301, \"1370390400000\": -0.1661455554, \"1253145600000\": -0.0819713731, \"1242345600000\": -0.2488789685, \"1326844800000\": -0.2106876484, \"1203984000000\": -0.0562631239, \"1284940800000\": -0.1345770726, \"1418601600000\": 0.2662713934, \"1326067200000\": -0.2292215262, \"1320710400000\": -0.1347163804, \"1225238400000\": -0.6348321561, \"1360195200000\": -0.1116205735, \"1405036800000\": -0.1954609102, \"1234137600000\": -0.4234109485, \"1251849600000\": -0.1964705316, \"1308182400000\": -0.080388319, \"1310947200000\": -0.0241961943, \"1369353600000\": -0.1602561063, \"1314662400000\": -0.1080398311, \"1340236800000\": -0.1955648395, \"1319068800000\": -0.1925382117, \"1498521600000\": 0.9409616927, \"1384128000000\": -0.1996147247, \"1335312000000\": -0.1485691145, \"1226620800000\": -0.5533316075, \"1338768000000\": -0.1837162746, \"1200528000000\": 0.0498231323, \"1214438400000\": -0.3606130129, \"1427068800000\": 0.6546517236, \"1278374400000\": -0.2182066247, \"1303344000000\": 0.04375336, \"1467763200000\": 0.63224094, \"1417651200000\": 0.2307619534, \"1280361600000\": -0.1077253875, \"1433721600000\": 1.2656197288, \"1299196800000\": 0.0157044665, \"1510704000000\": 1.0851067823, \"1477008000000\": 0.7528986689, \"1374192000000\": -0.2815235484, \"1507680000000\": 1.0962265457, \"1234224000000\": -0.4132902085, \"1433289600000\": 1.1400555388, \"1429142400000\": 0.8748475287, \"1279584000000\": -0.1568123575, \"1263427200000\": 0.0228177055, \"1400630400000\": -0.2163363929, \"1388707200000\": -0.2206732898, \"1492732800000\": 0.8926969779, \"1267574400000\": -0.0003069507, \"1336953600000\": -0.1593353936, \"1436832000000\": 0.8766638832, \"1432512000000\": 1.1198524867, \"1283817600000\": -0.0875909672, \"1416355200000\": -0.0028797326, \"1415750400000\": 0.0225872747, \"1254268800000\": -0.1704112031, \"1274313600000\": -0.1737078521, \"1318550400000\": -0.1537802817, \"1450828800000\": 0.8764468344, \"1209340800000\": -0.2076873194, \"1284595200000\": -0.1321813426, \"1301270400000\": 0.0317149186, \"1502236800000\": 1.0423530051, \"1337558400000\": -0.1719238725, \"1389571200000\": -0.2488175356, \"1427673600000\": 0.7133274536, \"1215475200000\": -0.3530436506, \"1409011200000\": -0.113879644, \"1369180800000\": -0.1535905263, \"1512950400000\": 1.0743952688, \"1253836800000\": -0.1491484831, \"1431561600000\": 0.9533813004, \"1320969600000\": -0.1427988016, \"1303689600000\": 0.02312689, \"1422316800000\": 0.4942772482, \"1385683200000\": -0.166875414, \"1213142400000\": -0.3281959109, \"1326240000000\": -0.2099035384, \"1482883200000\": 0.7787203181, \"1353542400000\": -0.2969585007, \"1375747200000\": -0.2491809811, \"1322092800000\": -0.1732322716, \"1419292800000\": 0.3324404794, \"1392163200000\": -0.2060781134, \"1442966400000\": 0.5087694129, \"1480464000000\": 0.8728632008, \"1477612800000\": 0.7606141213, \"1422489600000\": 0.4581702442, \"1414454400000\": -0.0638745904, \"1445299200000\": 0.6717779673, \"1463443200000\": 0.5235430959, \"1252281600000\": -0.1483641697, \"1355788800000\": -0.2205198578, \"1333065600000\": -0.2043919355, \"1201046400000\": -0.0245001077, \"1501804800000\": 1.0338967051, \"1405296000000\": -0.1834589002, \"1392854400000\": -0.1956579234, \"1488844800000\": 0.8863890334, \"1380153600000\": -0.2052192415, \"1416960000000\": 0.0804544674, \"1271894400000\": -0.0461801737, \"1216771200000\": -0.3579692474, \"1285027200000\": -0.1313940126, \"1208995200000\": -0.2082528094, \"1366156800000\": -0.1955966132, \"1281052800000\": -0.1033742275, \"1332892800000\": -0.1983495655, \"1444694400000\": 0.6128086477, \"1507852800000\": 1.1014841657, \"1398297600000\": -0.2069638068, \"1479340800000\": 0.8173532916, \"1508198400000\": 1.0845861095, \"1239235200000\": -0.3408220769, \"1490572800000\": 0.9033964353, \"1215561600000\": -0.3275483806, \"1294185600000\": -0.040751027, \"1225152000000\": -0.6227035299, \"1332374400000\": -0.1621033775, \"1412726400000\": -0.0492350613, \"1383868800000\": -0.2027599783, \"1450310400000\": 0.8184217944, \"1274227200000\": -0.1648937021, \"1481155200000\": 0.8424108646, \"1378771200000\": -0.1709341479, \"1409529600000\": -0.1045506965, \"1418774400000\": 0.3105953394, \"1233619200000\": -0.4763377885, \"1471996800000\": 0.7438126153, \"1201132800000\": -0.0037885577, \"1441756800000\": 0.5930435796, \"1224028800000\": -0.5823041899, \"1361750400000\": -0.1484487526, \"1436400000000\": 0.7958460655, \"1502668800000\": 1.0094868651, \"1509494400000\": 1.0659643174, \"1308614400000\": -0.081839729, \"1217376000000\": -0.3546282751, \"1349654400000\": -0.2902654386, \"1306454400000\": -0.0666940022, \"1399939200000\": -0.2068781029, \"1390780800000\": -0.2332681786, \"1218672000000\": -0.4723527022, \"1438905600000\": 0.790932251, \"1485216000000\": 0.832230942, \"1382659200000\": -0.1945273389, \"1211932800000\": -0.2075309017, \"1470700800000\": 0.6974160602, \"1409616000000\": -0.0914427365, \"1417046400000\": 0.0946453774, \"1441670400000\": 0.5650916996, \"1339372800000\": -0.1889991746, \"1491955200000\": 0.9248445499, \"1503964800000\": 1.0772635364, \"1433462400000\": 1.1991798288, \"1475107200000\": 0.6983736842, \"1362441600000\": -0.1559414726, \"1276732800000\": -0.1709778054, \"1252886400000\": -0.0944214097, \"1256169600000\": -0.0752689478, \"1337644800000\": -0.1611258325, \"1369094400000\": -0.1544074663, \"1454025600000\": 0.4256688139, \"1509408000000\": 1.0734006174, \"1508371200000\": 1.0759682895, \"1307491200000\": -0.0541569363, \"1496620800000\": 0.8361908178, \"1464912000000\": 0.5848851126, \"1343952000000\": -0.2487120638, \"1340755200000\": -0.2144199184, \"1268006400000\": -0.0140313889, \"1509321600000\": 1.0796577495, \"1229990400000\": -0.5505399383, \"1328227200000\": -0.1849452969, \"1439337600000\": 0.8375014384, \"1345680000000\": -0.2557481399, \"1318982400000\": -0.1735879417, \"1388102400000\": -0.2102256798, \"1457568000000\": 0.4681435043, \"1337731200000\": -0.1657431025, \"1352764800000\": -0.2875846661, \"1385596800000\": -0.165010814, \"1455580800000\": 0.4677026418, \"1429574400000\": 0.9282184802, \"1462233600000\": 0.5869538004, \"1499644800000\": 0.9647375613, \"1436227200000\": 0.7952365655, \"1381795200000\": -0.1707508889, \"1267142400000\": -0.0142814507, \"1432771200000\": 0.9983036767, \"1289260800000\": 0.0680116575, \"1440028800000\": 0.7244760084, \"1328745600000\": -0.1754868669, \"1395792000000\": -0.2116762386, \"1259539200000\": -0.001238511, \"1456790400000\": 0.4260695143, \"1507593600000\": 1.0978897257, \"1414540800000\": -0.0484018304, \"1472601600000\": 0.7402937353, \"1337904000000\": -0.1745369825, \"1427846400000\": 0.7203891636, \"1460332800000\": 0.5949814459, \"1480982400000\": 0.8375082946, \"1468540800000\": 0.6834588446, \"1457308800000\": 0.5199344743, \"1459987200000\": 0.5841116122, \"1242172800000\": -0.2488531785, \"1199664000000\": 0.0640685309, \"1414713600000\": -0.0173726604, \"1383177600000\": -0.1886934183, \"1346976000000\": -0.260039547, \"1392076800000\": -0.2078512334, \"1226880000000\": -0.5392668475, \"1332460800000\": -0.1732965075, \"1338163200000\": -0.1612250325, \"1404086400000\": -0.2023746196, \"1245110400000\": -0.1950551962, \"1388016000000\": -0.2230029098, \"1404259200000\": -0.1985118896, \"1441929600000\": 0.5638230029, \"1213574400000\": -0.3641113209, \"1390867200000\": -0.2295231286, \"1459382400000\": 0.5854101922, \"1424822400000\": 0.4551769296, \"1212019200000\": -0.2246508517, \"1492387200000\": 0.9026167299, \"1339977600000\": -0.1803081895, \"1318204800000\": -0.1856880491, \"1283212800000\": -0.1105726472, \"1278547200000\": -0.2116089347, \"1389657600000\": -0.2409405656, \"1256860800000\": -0.0874410114, \"1500854400000\": 1.0258901923, \"1493769600000\": 0.8482171879, \"1282089600000\": -0.0981336243, \"1239926400000\": -0.3035868034, \"1343174400000\": -0.2552505538, \"1463356800000\": 0.5333772159, \"1212710400000\": -0.2373377909, \"1288656000000\": 0.0452666214, \"1490054400000\": 0.8970758853, \"1451260800000\": 0.8073308714, \"1231718400000\": -0.5397590945, \"1300406400000\": 0.0062543086, \"1323043200000\": -0.1984606603, \"1468454400000\": 0.6811169546, \"1268611200000\": -0.0437113689, \"1426550400000\": 0.5766552483, \"1514419200000\": 1.0429801871, \"1309219200000\": -0.046412859, \"1449792000000\": 0.7427561544, \"1271203200000\": 0.0206547104, \"1247097600000\": -0.0912481662, \"1290988800000\": -0.0315573148, \"1331078400000\": -0.1474174441, \"1282262400000\": -0.1092930343, \"1276128000000\": -0.1733164554, \"1469404800000\": 0.6710260441, \"1364256000000\": -0.1658220335, \"1342742400000\": -0.2418594837, \"1335225600000\": -0.1570484545, \"1433894400000\": 1.2467861288, \"1291680000000\": -0.0368516355, \"1450742400000\": 0.8711167044, \"1407283200000\": -0.0983900416, \"1218758400000\": -0.4730745522, \"1341446400000\": -0.2247589884, \"1473292800000\": 0.7487013355, \"1502064000000\": 1.0431224651, \"1376265600000\": -0.2283269367, \"1225065600000\": -0.6375316099, \"1236902400000\": -0.4326978259, \"1480032000000\": 0.8633723308, \"1499817600000\": 0.9581691213, \"1202083200000\": -0.0223291067, \"1236556800000\": -0.434062617, \"1311724800000\": -0.0595490643, \"1279756800000\": -0.1421552875, \"1309737600000\": -0.0228227446, \"1375920000000\": -0.2517078667, \"1488499200000\": 0.8791896988, \"1452816000000\": 0.5134033014, \"1380240000000\": -0.2013890715, \"1367539200000\": -0.1925953133, \"1242950400000\": -0.2592981785, \"1244678400000\": -0.1983185962, \"1451347200000\": 0.8234876114, \"1372118400000\": -0.2924255872, \"1297209600000\": -0.0577665569, \"1261958400000\": 0.0023944122, \"1498435200000\": 0.9388364727, \"1300924800000\": 0.0195374786, \"1462492800000\": 0.5427538004, \"1276041600000\": -0.1643613254, \"1323216000000\": -0.1977025503, \"1439251200000\": 0.8635619484, \"1491868800000\": 0.9301433999, \"1364860800000\": -0.1851296235, \"1283731200000\": -0.0924898572, \"1368662400000\": -0.1749944863, \"1350518400000\": -0.2623767814, \"1255046400000\": -0.1306129378, \"1245024000000\": -0.1934378262, \"1478563200000\": 0.7789607616, \"1227484800000\": -0.5782795775, \"1266883200000\": -0.0442539207, \"1332720000000\": -0.1723963075, \"1406160000000\": -0.1484210543, \"1504137600000\": 1.0781703464, \"1331769600000\": -0.1600050175, \"1246492800000\": -0.1137378116, \"1214784000000\": -0.4031802429, \"1341187200000\": -0.2120086784, \"1402272000000\": -0.2183333219, \"1237161600000\": -0.4214367859, \"1472774400000\": 0.7310818655, \"1223424000000\": -0.5575490888, \"1250553600000\": -0.1304168822, \"1459296000000\": 0.5786083222, \"1237248000000\": -0.3990899859, \"1423785600000\": 0.4461047296, \"1345420800000\": -0.2569412172, \"1241740800000\": -0.2515492587, \"1464048000000\": 0.5132338826, \"1411689600000\": -0.0611515456, \"1425600000000\": 0.4474677983, \"1227571200000\": -0.5802507075, \"1320883200000\": -0.1421890804, \"1495756800000\": 0.8421746478, \"1216944000000\": -0.3453085774, \"1312848000000\": -0.129476861, \"1470096000000\": 0.6664063941, \"1400544000000\": -0.2243076529, \"1489449600000\": 0.8837858834, \"1203465600000\": -0.0053649539, \"1247702400000\": -0.0601698762, \"1378166400000\": -0.2171525564, \"1315958400000\": -0.1409904224, \"1478131200000\": 0.7712675013, \"1466467200000\": 0.5521136797, \"1323734400000\": -0.2286534431, \"1275004800000\": -0.1367882521, \"1288569600000\": 0.0541175114, \"1352073600000\": -0.2619508555, \"1342051200000\": -0.2322149037, \"1323993600000\": -0.2375010331, \"1272499200000\": -0.0797789237, \"1306972800000\": -0.0724504663, \"1258329600000\": 0.0157020162, \"1302566400000\": 0.0422846048, \"1255392000000\": -0.1157559078, \"1497916800000\": 0.8962064027, \"1289952000000\": -0.0432599225, \"1514332800000\": 1.0369855871, \"1334188800000\": -0.1734848755, \"1369958400000\": -0.1557492054, \"1404432000000\": -0.1937494296, \"1343260800000\": -0.2573227938, \"1506556800000\": 1.0641532657, \"1350950400000\": -0.2667139214, \"1450396800000\": 0.8138586544, \"1374105600000\": -0.2650266684, \"1200441600000\": 0.0763751723, \"1263513600000\": 0.0266641655, \"1425945600000\": 0.4682671183, \"1316131200000\": -0.1408596124, \"1502841600000\": 1.0109092233, \"1423180800000\": 0.3807633242, \"1357257600000\": -0.1741541114, \"1369699200000\": -0.1485364854, \"1275868800000\": -0.1906009454, \"1454284800000\": 0.4042921739, \"1247616000000\": -0.0645508862, \"1292371200000\": -0.0226530955, \"1308009600000\": -0.0550296263, \"1274745600000\": -0.1489481221, \"1372636800000\": -0.2795091467, \"1325116800000\": -0.2526156162, \"1222041600000\": -0.5082819315, \"1336435200000\": -0.1309779236, \"1490918400000\": 0.8896313253, \"1269388800000\": -0.0132303009, \"1512518400000\": 1.0651455688, \"1427241600000\": 0.6384852636, \"1296086400000\": -0.0605442971, \"1459209600000\": 0.5388662922, \"1434067200000\": 1.2748681988, \"1411603200000\": -0.0631716156, \"1288915200000\": 0.0628689475, \"1363737600000\": -0.1566841715, \"1218067200000\": -0.3929346251, \"1462838400000\": 0.5123983459, \"1283472000000\": -0.1066932072, \"1457395200000\": 0.5176315443, \"1413417600000\": -0.0533467713, \"1257379200000\": -0.0344803414, \"1265760000000\": -0.0454613468, \"1428969600000\": 0.8465407887, \"1341878400000\": -0.2408679284, \"1250121600000\": -0.0537101922, \"1256515200000\": -0.0545471414, \"1487116800000\": 0.8751740744, \"1433980800000\": 1.2490053688, \"1361923200000\": -0.1573668126, \"1359331200000\": -0.1379960983, \"1277769600000\": -0.2139729768, \"1495584000000\": 0.8095699978, \"1487635200000\": 0.9075994988, \"1293667200000\": -0.070561607, \"1369008000000\": -0.1566644263, \"1464307200000\": 0.5158307626, \"1377475200000\": -0.2294306264, \"1397433600000\": -0.1800362534, \"1397001600000\": -0.1906148234, \"1407369600000\": -0.1120402316, \"1336608000000\": -0.1490307636, \"1383696000000\": -0.1931987083, \"1341360000000\": -0.2132692684, \"1211328000000\": -0.1923776117, \"1346716800000\": -0.2893902499, \"1363651200000\": -0.1808878715, \"1473638400000\": 0.7099109455, \"1390176000000\": -0.2525279756, \"1297900800000\": 0.0022369631, \"1214956800000\": -0.4154721506, \"1508803200000\": 1.0987643495, \"1220400000000\": -0.50456283, \"1465344000000\": 0.5737985797, \"1499040000000\": 0.9498162327, \"1407110400000\": -0.0953027716, \"1465948800000\": 0.5524714697, \"1225929600000\": -0.6355381661, \"1512432000000\": 1.0626438688, \"1215734400000\": -0.3453537206, \"1238716800000\": -0.3289242969, \"1491523200000\": 0.9294781599, \"1428537600000\": 0.7752247387, \"1415577600000\": 0.0062547747, \"1506470400000\": 1.0679212257, \"1292198400000\": -0.0188396455, \"1389312000000\": -0.2489727856, \"1408406400000\": -0.092221064, \"1214524800000\": -0.4038293229, \"1438646400000\": 0.818474111, \"1250812800000\": -0.1215619416, \"1391040000000\": -0.2371088286, \"1200873600000\": 0.0139332923, \"1377129600000\": -0.2383803564, \"1323648000000\": -0.2119700131, \"1409184000000\": -0.120804064, \"1208304000000\": -0.2565261617, \"1212105600000\": -0.2183677117, \"1305504000000\": -0.0210264355, \"1289865600000\": -0.0303413425, \"1450051200000\": 0.7972478744, \"1257984000000\": -0.0247109138, \"1423699200000\": 0.4329379396, \"1342656000000\": -0.2348298937, \"1200268800000\": 0.1043637209, \"1255478400000\": -0.1075070578, \"1245715200000\": -0.1535268162, \"1324339200000\": -0.2389589931, \"1217808000000\": -0.3839807451, \"1406073600000\": -0.1633624143, \"1386288000000\": -0.153319854, \"1512604800000\": 1.0519779688, \"1298332800000\": -0.0215054624, \"1445558400000\": 0.6723588373, \"1266796800000\": -0.0402480507, \"1367798400000\": -0.1820535333, \"1439769600000\": 0.8659340984, \"1321920000000\": -0.1687418816, \"1224460800000\": -0.5828163199, \"1441152000000\": 0.5779892696, \"1487289600000\": 0.8688246144, \"1376352000000\": -0.2242842867, \"1446508800000\": 0.6310949639, \"1230508800000\": -0.5662865907, \"1355184000000\": -0.2589959978, \"1258934400000\": 0.048415059, \"1415923200000\": 0.0206679147, \"1315353600000\": -0.1275337411, \"1205884800000\": -0.1776994985, \"1326931200000\": -0.1990793884, \"1458086400000\": 0.5094447701, \"1320796800000\": -0.1267458204, \"1255910400000\": -0.0841180878, \"1213228800000\": -0.3371533109, \"1207526400000\": -0.2019442817, \"1300320000000\": 0.0024871465, \"1397606400000\": -0.1922193734, \"1507766400000\": 1.0937338057, \"1500422400000\": 1.0053081823, \"1447977600000\": 0.7972352823, \"1406592000000\": -0.1137090243, \"1344211200000\": -0.2411397138, \"1314835200000\": -0.1101604511, \"1369612800000\": -0.1613057354, \"1322611200000\": -0.1981235803, \"1220313600000\": -0.50110165, \"1230249600000\": -0.5640749907, \"1332115200000\": -0.1467415275, \"1466640000000\": 0.56084874, \"1309132800000\": -0.045425309, \"1501545600000\": 1.0496577451, \"1456963200000\": 0.4963708043, \"1439510400000\": 0.8606123784, \"1272326400000\": -0.0665048337, \"1211155200000\": -0.1662088917, \"1498089600000\": 0.9019803727, \"1291939200000\": -0.0460898555, \"1484697600000\": 0.810649512, \"1226275200000\": -0.5968794561, \"1442793600000\": 0.5379836529, \"1398643200000\": -0.2248498968, \"1348444800000\": -0.3015256086, \"1281312000000\": -0.0990568875, \"1375833600000\": -0.2521554711, \"1299110400000\": 0.0025307876, \"1300752000000\": 0.0102257286, \"1346889600000\": -0.286749027, \"1490745600000\": 0.8970474653, \"1208908800000\": -0.2782840194, \"1362960000000\": -0.1603387615, \"1283904000000\": -0.0894560872, \"1287705600000\": 0.0226969114, \"1393891200000\": -0.2255800491, \"1310428800000\": -0.0451652146, \"1289520000000\": -0.0046915925, \"1231286400000\": -0.5425863507, \"1216684800000\": -0.3526525174, \"1269216000000\": -0.0092425809, \"1284336000000\": -0.0962595426, \"1489622400000\": 0.8994923434, \"1301529600000\": 0.0081884586, \"1497225600000\": 0.8809831508, \"1280707200000\": -0.0965663775, \"1379462400000\": -0.1868913579, \"1400716800000\": -0.2191628129, \"1470614400000\": 0.6872121502, \"1277164800000\": -0.1589729468, \"1329091200000\": -0.1750879369, \"1348099200000\": -0.3015402686, \"1466985600000\": 0.56211665, \"1214179200000\": -0.4092563729, \"1421625600000\": 0.3983160282, \"1479168000000\": 0.8141899816, \"1410393600000\": -0.0770529065, \"1215043200000\": -0.3966931206, \"1337126400000\": -0.1746251525, \"1212364800000\": -0.2115493309, \"1284422400000\": -0.0972346726, \"1273795200000\": -0.1309097426, \"1264118400000\": 0.0019991644, \"1339545600000\": -0.1842874295, \"1412899200000\": -0.0506978613, \"1362009600000\": -0.1381563026, \"1232668800000\": -0.4986096585, \"1409788800000\": -0.0762230165, \"1505952000000\": 1.0812895862, \"1492992000000\": 0.8733215079, \"1484784000000\": 0.808507912, \"1398038400000\": -0.2095218134, \"1500249600000\": 0.9521285613, \"1440460800000\": 0.3885982896, \"1207785600000\": -0.2093652117, \"1321315200000\": -0.1269317816, \"1226361600000\": -0.6004445361, \"1477440000000\": 0.7676085013, \"1321401600000\": -0.1509638616, \"1387756800000\": -0.2126768698, \"1377043200000\": -0.2362675267, \"1295827200000\": -0.0789672871, \"1342137600000\": -0.2330167837, \"1248998400000\": 0.0117534178, \"1505433600000\": 1.0791846362, \"1483401600000\": 0.8008517744, \"1241654400000\": -0.2613770887, \"1429488000000\": 0.8819021402, \"1511827200000\": 1.0761103688, \"1379980800000\": -0.1868056015, \"1378425600000\": -0.2151188579, \"1469664000000\": 0.6814011441, \"1478476800000\": 0.7729086416, \"1312156800000\": -0.063013371, \"1434672000000\": 0.9859257982, \"1406678400000\": -0.1201206743, \"1262736000000\": 0.0235336355, \"1437696000000\": 0.8878147932, \"1339027200000\": -0.1893814146, \"1407888000000\": -0.0992772616, \"1401062400000\": -0.2108683201, \"1385078400000\": -0.1759381247, \"1422403200000\": 0.4736783082, \"1471219200000\": 0.7736082402, \"1219276800000\": -0.4758099422, \"1206576000000\": -0.1983213185, \"1215388800000\": -0.3614862406, \"1325635200000\": -0.2535812962, \"1351209600000\": -0.2850047955, \"1499731200000\": 0.9616845913, \"1513296000000\": 1.0337628575, \"1380499200000\": -0.1964566215, \"1426464000000\": 0.5544441183, \"1319414400000\": -0.1765707217, \"1309478400000\": -0.0456735246, \"1262131200000\": 0.0221705922, \"1305849600000\": -0.0129799322, \"1373846400000\": -0.2478520984, \"1233792000000\": -0.4659912985, \"1381449600000\": -0.1731113015, \"1514246400000\": 1.0530692871, \"1279497600000\": -0.1754566975, \"1305072000000\": -0.0093938055, \"1382486400000\": -0.1840040989, \"1281398400000\": -0.1251188175, \"1311552000000\": -0.0693327443, \"1281916800000\": -0.1003229443, \"1216166400000\": -0.3954701574, \"1303948800000\": -0.00179748, \"1482969600000\": 0.7761840881, \"1423526400000\": 0.4100834842, \"1325203200000\": -0.2431252662, \"1309305600000\": -0.060066309, \"1447891200000\": 0.8003076923, \"1339113600000\": -0.1982077146, \"1375401600000\": -0.2639797111, \"1286928000000\": -0.0259675392, \"1218153600000\": -0.4288180351, \"1239840000000\": -0.2920298434, \"1451865600000\": 0.6774350214, \"1400457600000\": -0.2251542129, \"1511308800000\": 1.1219507823, \"1461110400000\": 0.5627960159, \"1395273600000\": -0.2430020706, \"1480291200000\": 0.8765032908, \"1473724800000\": 0.7094504755, \"1216598400000\": -0.3525110674, \"1303862400000\": 0.01084196, \"1223942400000\": -0.5813678388, \"1284508800000\": -0.1128248726, \"1497398400000\": 0.8764434108, \"1510099200000\": 1.0887139174, \"1474848000000\": 0.6852933742, \"1401321600000\": -0.2115644201, \"1444608000000\": 0.6114620877, \"1277856000000\": -0.2260519468, \"1336348800000\": -0.1276372336, \"1377820800000\": -0.2247062564, \"1494806400000\": 0.82240969, \"1235433600000\": -0.4139221505, \"1437609600000\": 0.9236232432, \"1303257600000\": 0.03674412, \"1384819200000\": -0.1755342447, \"1487548800000\": 0.9011636944, \"1277683200000\": -0.1758005868, \"1210032000000\": -0.1488585077, \"1355875200000\": -0.2209110314, \"1265587200000\": -0.0608729368, \"1314144000000\": -0.1194759703, \"1410307200000\": -0.0747760265, \"1390435200000\": -0.2284798086, \"1444780800000\": 0.5935293577, \"1454371200000\": 0.4351856939, \"1248912000000\": -0.0144562222, \"1304380800000\": 0.01280473, \"1359504000000\": -0.1272815483, \"1469750400000\": 0.6754477941, \"1460073600000\": 0.5683899022, \"1322006400000\": -0.1748873816, \"1443139200000\": 0.4926612377, \"1451520000000\": 0.8050965514, \"1309392000000\": -0.0482579246, \"1429660800000\": 0.9898631502, \"1405641600000\": -0.1763688702, \"1221782400000\": -0.5401424115, \"1478044800000\": 0.7551207313, \"1343779200000\": -0.2503516238, \"1248825600000\": -0.0377233222, \"1418083200000\": 0.2244410634, \"1479254400000\": 0.8142905016, \"1447632000000\": 0.7873807023, \"1372032000000\": -0.2906010572, \"1283299200000\": -0.1183203972, \"1415664000000\": 0.0108901047, \"1304640000000\": -0.0161537255, \"1331251200000\": -0.1304527541, \"1510790400000\": 1.0845636823, \"1260403200000\": 0.0233373746, \"1401840000000\": -0.2215720501, \"1494892800000\": 0.8407651, \"1482710400000\": 0.7894150581, \"1318291200000\": -0.1849597191, \"1277424000000\": -0.1706883668, \"1256601600000\": -0.0825721014, \"1349740800000\": -0.2733638986, \"1378684800000\": -0.1831754579, \"1437350400000\": 0.8812983132, \"1235606400000\": -0.4385779705, \"1439942400000\": 0.7682213084, \"1438128000000\": 0.780719341, \"1463616000000\": 0.5074596559, \"1245369600000\": -0.1624722462, \"1401235200000\": -0.2067756501, \"1236297600000\": -0.413846347, \"1499904000000\": 0.9767314413, \"1244419200000\": -0.209646012, \"1314748800000\": -0.1072357711, \"1238371200000\": -0.3568625769, \"1512086400000\": 1.0776119688, \"1469145600000\": 0.6627332241, \"1269820800000\": 0.0092476991, \"1467936000000\": 0.6263344946, \"1422576000000\": 0.4409732342, \"1334793600000\": -0.1618482445, \"1449446400000\": 0.7835977419, \"1467072000000\": 0.57181357, \"1359936000000\": -0.1062687635, \"1278460800000\": -0.2126340447, \"1222214400000\": -0.5283878288, \"1370304000000\": -0.1656318354, \"1465171200000\": 0.5798848726, \"1482364800000\": 0.7938847181, \"1299456000000\": 0.0316821265, \"1273449600000\": -0.1308142826, \"1256256000000\": -0.0560205014, \"1476748800000\": 0.7459027689, \"1416787200000\": 0.0498370374, \"1315180800000\": -0.1378568811, \"1279670400000\": -0.1545592575, \"1498176000000\": 0.9105960827, \"1294876800000\": -0.031148727, \"1396915200000\": -0.1908719686, \"1309910400000\": -0.0236089146, \"1355702400000\": -0.2213590478, \"1436486400000\": 0.8980201355, \"1363132800000\": -0.1784496615, \"1225411200000\": -0.6346633261, \"1439424000000\": 0.8613474584, \"1290556800000\": -0.0326898648, \"1376611200000\": -0.2376032967, \"1339459200000\": -0.1949761095, \"1466380800000\": 0.5531597097, \"1378339200000\": -0.2215148779, \"1361232000000\": -0.1248696935, \"1261353600000\": -0.0236137378, \"1442880000000\": 0.5503278429, \"1229558400000\": -0.5179604683, \"1199404800000\": 0.0441150009, \"1425513600000\": 0.4566352283, \"1416268800000\": 0.0006979074, \"1252540800000\": -0.1315943197, \"1386201600000\": -0.151065004, \"1323907200000\": -0.2533125631, \"1374451200000\": -0.2794148584, \"1345766400000\": -0.2651409899, \"1279065600000\": -0.1803496347, \"1409702400000\": -0.0829261665, \"1305158400000\": -0.0230463355, \"1245801600000\": -0.1469333362, \"1344297600000\": -0.2399756938, \"1338940800000\": -0.1843710646, \"1322697600000\": -0.1801037403, \"1343088000000\": -0.2513793337, \"1503014400000\": 1.0242878133, \"1392768000000\": -0.1888621034, \"1479427200000\": 0.8055941216, \"1508284800000\": 1.0921198695, \"1433203200000\": 1.1367765188, \"1469059200000\": 0.6769194241, \"1203552000000\": -0.0028579539, \"1425254400000\": 0.5026242696, \"1460678400000\": 0.6186446159, \"1286496000000\": -0.0814530092, \"1251158400000\": -0.1467230916, \"1232323200000\": -0.5128488745, \"1235692800000\": -0.460577777, \"1337040000000\": -0.1626316425, \"1348617600000\": -0.3143007386, \"1236124800000\": -0.419349247, \"1321488000000\": -0.1521379316, \"1288137600000\": 0.0290915414, \"1270080000000\": 0.0162574791, \"1462406400000\": 0.5879085204, \"1373414400000\": -0.2752758767, \"1371686400000\": -0.2420223872, \"1486944000000\": 0.8779021944, \"1212451200000\": -0.2177382209, \"1237852800000\": -0.3654105359, \"1342569600000\": -0.2398008637, \"1358121600000\": -0.1637109764, \"1274054400000\": -0.1792195226, \"1219881600000\": -0.50048691, \"1287532800000\": 0.0236896208, \"1397779200000\": -0.1967493534, \"1336003200000\": -0.1317788636, \"1237334400000\": -0.3956718859, \"1261612800000\": -0.0116230978, \"1322524800000\": -0.1698670103, \"1405555200000\": -0.1824387202, \"1396483200000\": -0.2109127886, \"1350345600000\": -0.2764159914, \"1479945600000\": 0.8454683508, \"1328486400000\": -0.1845190169, \"1456444800000\": 0.4286785243, \"1488412800000\": 0.8837284188, \"1425340800000\": 0.4629614196, \"1346112000000\": -0.2723517299, \"1394496000000\": -0.2545928206, \"1256774400000\": -0.0994130714, \"1349913600000\": -0.2742436314, \"1340582400000\": -0.2096072195, \"1231113600000\": -0.5601858807, \"1271376000000\": 0.0051375004, \"1467158400000\": 0.57883375, \"1480377600000\": 0.8902705908, \"1287014400000\": -0.0290819792, \"1331510400000\": -0.1339330541, \"1395014400000\": -0.2348267606, \"1226966400000\": -0.5764454875, \"1302739200000\": 0.0511946248, \"1242864000000\": -0.2582591685, \"1254096000000\": -0.1728840231, \"1475193600000\": 0.7013072042, \"1269302400000\": -0.0162046809, \"1372377600000\": -0.2812637667, \"1404172800000\": -0.2027330096, \"1408579200000\": -0.099639424, \"1377734400000\": -0.2273135464, \"1499990400000\": 0.9889073313, \"1425427200000\": 0.4757545496, \"1261440000000\": -0.0477141178, \"1354665600000\": -0.2822131978, \"1483574400000\": 0.8154647744, \"1225843200000\": -0.6269606861, \"1316563200000\": -0.1295088624, \"1343692800000\": -0.2576770938, \"1389139200000\": -0.2413871256, \"1372982400000\": -0.2758260467, \"1383091200000\": -0.1832812083, \"1327881600000\": -0.2007248884, \"1460505600000\": 0.6146494159, \"1358899200000\": -0.1511930483, \"1478649600000\": 0.7652753716, \"1338508800000\": -0.1600116246, \"1211760000000\": -0.2295014017, \"1235952000000\": -0.453439557, \"1436140800000\": 0.8179087055, \"1244592000000\": -0.193483482, \"1280188800000\": -0.1358406075, \"1275609600000\": -0.1741261954, \"1286755200000\": -0.0546782292, \"1410739200000\": -0.0677690565, \"1419206400000\": 0.3548389494, \"1226016000000\": -0.6271323161, \"1432166400000\": 1.0025373667, \"1436313600000\": 0.6762456755, \"1302652800000\": 0.0541765748, \"1421107200000\": 0.4509443377, \"1340841600000\": -0.2211279684, \"1480896000000\": 0.8435731746, \"1440633600000\": 0.4789584096, \"1218499200000\": -0.4737638122, \"1285632000000\": -0.1263444926, \"1504224000000\": 1.0881223664, \"1505779200000\": 1.0835346062, \"1472083200000\": 0.7355372453, \"1463011200000\": 0.5286656259, \"1316476800000\": -0.1539448524, \"1220918400000\": -0.5381732815, \"1489536000000\": 0.8873867634, \"1317168000000\": -0.1719135691, \"1446076800000\": 0.6554659339, \"1240358400000\": -0.3189468434, \"1361491200000\": -0.1509287235, \"1339718400000\": -0.1829360495, \"1417996800000\": 0.2896902634, \"1434585600000\": 1.1161033082, \"1302220800000\": 0.0459953848, \"1206403200000\": -0.1578864285, \"1268956800000\": -0.0118774989, \"1338854400000\": -0.1835796246, \"1217894400000\": -0.3983044051, \"1481241600000\": 0.8602386646, \"1368748800000\": -0.1625321763, \"1252972800000\": -0.0907221597, \"1249516800000\": -0.0004539622, \"1351123200000\": -0.2708313855, \"1432684800000\": 1.1341383867, \"1302480000000\": 0.0408666448, \"1466726400000\": 0.53809361, \"1331164800000\": -0.1380898741, \"1421798400000\": 0.4870476782, \"1248307200000\": -0.0184534722, \"1395619200000\": -0.2062097306, \"1283385600000\": -0.1062863172, \"1308700800000\": -0.083494679, \"1387238400000\": -0.1884601637, \"1361404800000\": -0.1478953635, \"1248048000000\": -0.0323615362, \"1235347200000\": -0.3857841605, \"1265241600000\": -0.0391383668, \"1281657600000\": -0.1194075975, \"1305244800000\": -0.0140999655, \"1490313600000\": 0.9072017453, \"1280275200000\": -0.1145673675, \"1368576000000\": -0.1850377863, \"1358380800000\": -0.1722505764, \"1392336000000\": -0.2002235634, \"1303084800000\": 0.0547063448, \"1249344000000\": 0.0289809878, \"1346284800000\": -0.2772468699, \"1219968000000\": -0.4852155, \"1249948800000\": -0.0233868522, \"1390521600000\": -0.2246660286, \"1317254400000\": -0.1787304491, \"1353888000000\": -0.2964003007, \"1269993600000\": 0.0037958791, \"1295308800000\": -0.0763707771, \"1306368000000\": -0.0605341822, \"1268179200000\": -0.0184457389, \"1452729600000\": 0.5713880314, \"1443571200000\": 0.4779120677, \"1232496000000\": -0.5052041145, \"1419465600000\": 0.3479672394, \"1316044800000\": -0.1426758824, \"1278633600000\": -0.1875491047, \"1231977600000\": -0.5266920845, \"1489104000000\": 0.8699451134, \"1386806400000\": -0.1673711637, \"1392681600000\": -0.2002122334, \"1358208000000\": -0.1569591164, \"1308268800000\": -0.089178439, \"1242259200000\": -0.2524452685, \"1412812800000\": -0.0476683413, \"1264723200000\": -0.0453868856, \"1350259200000\": -0.2782210614, \"1427414400000\": 0.6562782636, \"1356652800000\": -0.1910650114, \"1277078400000\": -0.1608622468, \"1393459200000\": -0.2363147491, \"1353628800000\": -0.2918188507, \"1445904000000\": 0.6833955373, \"1504569600000\": 1.0912205864, \"1367971200000\": -0.1777154033, \"1426032000000\": 0.4760704383, \"1459900800000\": 0.6095384422, \"1488931200000\": 0.8834281834, \"1483056000000\": 0.7821428081, \"1448409600000\": 0.8053677223, \"1447372800000\": 0.7798526023, \"1425859200000\": 0.4769922783, \"1347408000000\": -0.259678217, \"1508976000000\": 1.1076896495, \"1495411200000\": 0.8150217878, \"1405987200000\": -0.1673617343, \"1228176000000\": -0.5693456321, \"1298851200000\": -0.0011422024, \"1373241600000\": -0.2973841367, \"1440979200000\": 0.5493919896, \"1204761600000\": -0.0044513734, \"1349827200000\": -0.2708587914, \"1252022400000\": -0.1525510697, \"1463097600000\": 0.5211832959, \"1386028800000\": -0.163087254, \"1243209600000\": -0.2592282385, \"1508457600000\": 1.0793144495, \"1260489600000\": 0.0216689746, \"1242777600000\": -0.2412656585, \"1427328000000\": 0.6463889736, \"1230681600000\": -0.5786594607, \"1397692800000\": -0.1957206734, \"1432857600000\": 1.0003875067, \"1304985600000\": -0.0069736555, \"1394668800000\": -0.2398927606, \"1432598400000\": 1.1448136467, \"1348531200000\": -0.3056226186, \"1269907200000\": 0.0097527591, \"1497312000000\": 0.8907619908, \"1229385600000\": -0.5330011883, \"1367884800000\": -0.1815549133, \"1434499200000\": 1.1965301482, \"1272585600000\": -0.0785981837, \"1199836800000\": 0.0720824709, \"1229040000000\": -0.5444564283, \"1232582400000\": -0.4967679645, \"1426636800000\": 0.6126519083, \"1351036800000\": -0.2660759855, \"1352419200000\": -0.2814688961, \"1207612800000\": -0.1904882717, \"1453248000000\": 0.5439238914, \"1421020800000\": 0.4464271077, \"1209081600000\": -0.1924284494, \"1487808000000\": 0.9037447588, \"1455494400000\": 0.4153677818, \"1294704000000\": -0.039493657, \"1329782400000\": -0.1653597737, \"1310688000000\": -0.0209848143, \"1513814400000\": 1.0456624575, \"1384387200000\": -0.2029094147, \"1353456000000\": -0.2908843107, \"1365379200000\": -0.1862884435, \"1372723200000\": -0.2778722667, \"1396396800000\": -0.2032951686, \"1290038400000\": -0.0332435248, \"1453939200000\": 0.3779420839, \"1262563200000\": 0.0173454855, \"1389830400000\": -0.2417884756, \"1467331200000\": 0.58457881, \"1488326400000\": 0.8953079488, \"1421193600000\": 0.4490143377, \"1288828800000\": 0.0507049375, \"1221004800000\": -0.5358843015, \"1352937600000\": -0.2950376861, \"1486512000000\": 0.8463653844, \"1354233600000\": -0.3057045607, \"1431388800000\": 0.9700208304, \"1214870400000\": -0.4216559206, \"1303171200000\": 0.03465536, \"1440720000000\": 0.5449404896, \"1324512000000\": -0.2482464931, \"1231804800000\": -0.5514505645, \"1239321600000\": -0.3214504069, \"1481673600000\": 0.8041607346, \"1481760000000\": 0.7863822946, \"1501632000000\": 1.0400471951, \"1424995200000\": 0.4945997396, \"1285804800000\": -0.1097147892, \"1512000000000\": 1.0732725688, \"1471824000000\": 0.7444888053, \"1205452800000\": -0.1064836634, \"1438560000000\": 0.769877461, \"1461542400000\": 0.5522196104, \"1227830400000\": -0.5849645421, \"1473206400000\": 0.7500878455, \"1295568000000\": -0.0740262371, \"1331856000000\": -0.1480120675, \"1387497600000\": -0.2171147437, \"1363219200000\": -0.1763546615, \"1508716800000\": 1.0863913495, \"1280966400000\": -0.1200397075, \"1251936000000\": -0.1570250397, \"1365984000000\": -0.1971392832, \"1408060800000\": -0.0950221516, \"1214265600000\": -0.3926124229, \"1505260800000\": 1.0883940462, \"1365465600000\": -0.1825095835, \"1230595200000\": -0.5729302507, \"1463702400000\": 0.5178143759, \"1486080000000\": 0.832894922, \"1330041600000\": -0.1377692937, \"1301443200000\": 0.0227861486, \"1289174400000\": 0.0758519375, \"1389916800000\": -0.2525735456, \"1415232000000\": -0.0198364553, \"1430092800000\": 1.0160373402, \"1327968000000\": -0.2006398569, \"1239753600000\": -0.2949675534, \"1340150400000\": -0.1854983895, \"1252627200000\": -0.1104889497, \"1449619200000\": 0.7579965019, \"1293494400000\": -0.0728708256, \"1262822400000\": 0.0020839255, \"1334016000000\": -0.1899364955, \"1246838400000\": -0.0898593316, \"1291075200000\": -0.0476737848, \"1437091200000\": 0.8879468132, \"1263168000000\": 0.0155566155, \"1305676800000\": -0.0086326622, \"1246406400000\": -0.1254519116, \"1279843200000\": -0.1388019175, \"1365724800000\": -0.1883244832, \"1276214400000\": -0.1693965254, \"1298246400000\": 0.0053925276, \"1227744000000\": -0.5728806921, \"1388448000000\": -0.2019448898, \"1203033600000\": -0.0305755567, \"1289779200000\": 0.0075595675, \"1279152000000\": -0.1966700147, \"1478217600000\": 0.7668646013, \"1200960000000\": -0.0671275077, \"1326412800000\": -0.2224149784, \"1329177600000\": -0.1782325537, \"1464220800000\": 0.5153896026, \"1497484800000\": 0.8802559808, \"1383523200000\": -0.1847969383, \"1251676800000\": -0.2120515416, \"1248739200000\": 0.0141382978, \"1324857600000\": -0.2475139262, \"1314576000000\": -0.1065990811, \"1357689600000\": -0.1760605364, \"1379894400000\": -0.1770719515, \"1351641600000\": -0.2816213955, \"1296172800000\": -0.0575592169, \"1273708800000\": -0.1237649426, \"1473033600000\": 0.7374101055, \"1247184000000\": -0.0890557362, \"1224115200000\": -0.6044787199, \"1366761600000\": -0.1894889733, \"1344988800000\": -0.2513035372, \"1445817600000\": 0.6845462573, \"1438041600000\": 0.726795021, \"1383264000000\": -0.1850298083, \"1396310400000\": -0.2128934786, \"1358985600000\": -0.1597816483, \"1497571200000\": 0.8770976108, \"1436745600000\": 0.9416159755, \"1347580800000\": -0.262076707, \"1268265600000\": -0.0180790689, \"1413936000000\": -0.0647031504, \"1476144000000\": 0.7323593589, \"1417132800000\": 0.1199439574, \"1470873600000\": 0.6844331102, \"1407715200000\": -0.0978840916, \"1334102400000\": -0.1895242555, \"1428451200000\": 0.7909439287, \"1483488000000\": 0.8145006344, \"1314921600000\": -0.1191111311, \"1233705600000\": -0.4586180185, \"1408320000000\": -0.091010594, \"1503619200000\": 1.0515458533, \"1394755200000\": -0.2434626606, \"1462924800000\": 0.5259094259, \"1319500800000\": -0.1616784517, \"1250208000000\": -0.0870331822, \"1205280000000\": -0.0717232234, \"1333670400000\": -0.1885040855, \"1513641600000\": 1.0496960575, \"1413158400000\": -0.0553758413, \"1203638400000\": -0.0312559539, \"1235088000000\": -0.4045125005, \"1447804800000\": 0.7754496523, \"1323302400000\": -0.1992454603, \"1510876800000\": 1.0779407823, \"1477872000000\": 0.7574508913, \"1423440000000\": 0.3889952842, \"1471564800000\": 0.7584902753, \"1479686400000\": 0.8176483308, \"1251072000000\": -0.1161485016, \"1273104000000\": -0.1226130526, \"1452470400000\": 0.5524333014, \"1206489600000\": -0.1587059985, \"1404345600000\": -0.1938200696, \"1419811200000\": 0.4203496794, \"1376956800000\": -0.2357731467, \"1246924800000\": -0.1004777116, \"1387929600000\": -0.2089708598, \"1414368000000\": -0.0838900204, \"1264464000000\": -0.0372973956, \"1508112000000\": 1.0909259457, \"1376006400000\": -0.2494135067, \"1287446400000\": 0.0247393708, \"1506038400000\": 1.0790155662, \"1217203200000\": -0.3371261674, \"1492560000000\": 0.8764086399, \"1446422400000\": 0.6338029139, \"1459468800000\": 0.5892364622, \"1218585600000\": -0.4733310222, \"1470960000000\": 0.7222760102, \"1228348800000\": -0.5432190621, \"1259020800000\": 0.010064699, \"1298937600000\": 0.0044655976, \"1295395200000\": -0.0612645071, \"1304899200000\": -0.0138238255, \"1206662400000\": -0.1654012085, \"1458604800000\": 0.5836830201, \"1477958400000\": 0.7671740113, \"1301616000000\": 0.0224355848, \"1449187200000\": 0.7836280519, \"1276819200000\": -0.1858207554, \"1316390400000\": -0.1565328324, \"1420588800000\": 0.5060097477, \"1366070400000\": -0.1931878532, \"1495497600000\": 0.8101254778, \"1394064000000\": -0.2280317191, \"1239580800000\": -0.3078613934, \"1282608000000\": -0.1056055143, \"1356566400000\": -0.2017695614, \"1442448000000\": 0.5107362629, \"1456099200000\": 0.5146258318, \"1291248000000\": -0.0416655755, \"1217980800000\": -0.3935781551, \"1311811200000\": -0.065104551, \"1456704000000\": 0.3929749243, \"1238112000000\": -0.3526430769, \"1458172800000\": 0.5314376901, \"1313452800000\": -0.0968344403, \"1345593600000\": -0.2587734599, \"1228089600000\": -0.5735729821, \"1481587200000\": 0.8190342946, \"1306108800000\": -0.0437918222, \"1484265600000\": 0.7982866444, \"1508889600000\": 1.1080895495, \"1395100800000\": -0.2342444606, \"1237420800000\": -0.3808223559, \"1325808000000\": -0.2536163862, \"1232064000000\": -0.5172482645, \"1504051200000\": 1.0807198664, \"1416873600000\": 0.0636313174, \"1489017600000\": 0.8722934834, \"1261094400000\": -0.0277637978, \"1501027200000\": 1.0172335223, \"1244764800000\": -0.2154630262, \"1414108800000\": -0.0751058304, \"1261699200000\": -0.0144165978, \"1315267200000\": -0.1445588611, \"1399852800000\": -0.2057754329, \"1270166400000\": 0.0203514791, \"1273190400000\": -0.1387931326, \"1323820800000\": -0.2360470831, \"1306195200000\": -0.0456754722, \"1493251200000\": 0.8689056479, \"1328140800000\": -0.1928357669, \"1308787200000\": -0.067462739, \"1233532800000\": -0.4913763785, \"1496188800000\": 0.8467392978, \"1278028800000\": -0.2302878968, \"1307404800000\": -0.0562747463, \"1509667200000\": 1.0466926174, \"1338422400000\": -0.1593232446, \"1217548800000\": -0.3656558551, \"1275523200000\": -0.1739702854, \"1418256000000\": 0.2532631734, \"1259712000000\": 0.025778979, \"1264032000000\": 0.0097794244, \"1399420800000\": -0.2237218268, \"1362528000000\": -0.1474881126, \"1219795200000\": -0.50527632, \"1394409600000\": -0.2590097591, \"1430697600000\": 1.0352890604, \"1357862400000\": -0.1918934564, \"1397174400000\": -0.1789637534, \"1438819200000\": 0.757880161, \"1509580800000\": 1.0557195174, \"1326672000000\": -0.2338576784, \"1461628800000\": 0.5632168304, \"1493942400000\": 0.82560058, \"1452211200000\": 0.6424170114, \"1435708800000\": 0.8880428555, \"1413504000000\": -0.0570842713, \"1390262400000\": -0.2445233386, \"1324598400000\": -0.2417261462, \"1325721600000\": -0.2578861562, \"1473120000000\": 0.7511805855, \"1393977600000\": -0.2314441491, \"1312934400000\": -0.121470611, \"1290643200000\": -0.0200958648, \"1315440000000\": -0.1354387924, \"1206057600000\": -0.1394737085, \"1296518400000\": -0.0475703569, \"1513555200000\": 1.0347278575, \"1364774400000\": -0.1859486135, \"1376524800000\": -0.2343680667, \"1492041600000\": 0.9276066799, \"1317081600000\": -0.1636450191, \"1459123200000\": 0.5566931622, \"1445990400000\": 0.6505312573, \"1350604800000\": -0.2635034014, \"1360022400000\": -0.1014246335, \"1452124800000\": 0.6032684414, \"1470787200000\": 0.6883240202, \"1259280000000\": -0.032595321, \"1423612800000\": 0.4238349542, \"1262044800000\": 0.0079794722, \"1367452800000\": -0.2052327333, \"1199232000000\": 0.0174616409, \"1319155200000\": -0.1954418217, \"1290470400000\": -0.0460502548, \"1329955200000\": -0.1510435837, \"1320105600000\": -0.1444732904, \"1427155200000\": 0.6591575636, \"1416182400000\": 0.0134300547, \"1211846400000\": -0.2254165317, \"1219708800000\": -0.50949895, \"1488758400000\": 0.8860282988, \"1322784000000\": -0.1892052003, \"1396569600000\": -0.2062831586, \"1267401600000\": -0.0045273607, \"1311292800000\": -0.0399079543, \"1271289600000\": 0.0162761104, \"1511481600000\": 1.0859624823, \"1393804800000\": -0.2255687591, \"1377216000000\": -0.2437791864, \"1260144000000\": 0.0456297946, \"1503360000000\": 1.0314867533, \"1201651200000\": -0.0593367367, \"1352160000000\": -0.2666251555, \"1207872000000\": -0.2011033417, \"1435276800000\": 0.8954252582, \"1404777600000\": -0.1918922602, \"1429056000000\": 0.8212889187, \"1331596800000\": -0.1270622975, \"1491436800000\": 0.9261961099, \"1503878400000\": 1.0830874733, \"1461715200000\": 0.5534889804, \"1319587200000\": -0.1565708917, \"1393286400000\": -0.2367639591, \"1265673600000\": -0.0553188068, \"1330992000000\": -0.1411647441, \"1352246400000\": -0.2672297561, \"1501113600000\": 1.0187202523, \"1263859200000\": 0.0372873844, \"1318896000000\": -0.1729755717, \"1478736000000\": 0.7898112816, \"1362096000000\": -0.1407027326, \"1397088000000\": -0.1769272834, \"1399248000000\": -0.2193806968, \"1208822400000\": -0.3111982994, \"1384214400000\": -0.1912714347, \"1311206400000\": -0.0405455943, \"1344384000000\": -0.2377914572, \"1410998400000\": -0.0709141656, \"1205193600000\": -0.0444097734, \"1230163200000\": -0.5635401107, \"1395360000000\": -0.2156855906, \"1400803200000\": -0.2131781001, \"1256083200000\": -0.0710646878, \"1369267200000\": -0.1638917363, \"1238544000000\": -0.3401125869, \"1476835200000\": 0.7445567889, \"1281484800000\": -0.1200678375, \"1474243200000\": 0.7080363442, \"1219104000000\": -0.5014519222, \"1474416000000\": 0.7091471842, \"1398729600000\": -0.2187885968, \"1244505600000\": -0.205226072, \"1310601600000\": -0.0247713343, \"1473811200000\": 0.6953966355, \"1236816000000\": -0.429773667, \"1199318400000\": 0.0344818109, \"1429747200000\": 0.9945908902, \"1327017600000\": -0.1871063184, \"1497830400000\": 0.8977632408, \"1312329600000\": -0.072487931, \"1467590400000\": 0.61953688, \"1388966400000\": -0.2386179798, \"1456272000000\": 0.5141159518, \"1458518400000\": 0.6032060801, \"1513123200000\": 1.0630415575, \"1259193600000\": -0.004995601, \"1407974400000\": -0.1062529716, \"1435104000000\": 1.1099006282, \"1392595200000\": -0.1917802634, \"1358294400000\": -0.1653167164, \"1435536000000\": 0.8613216182, \"1280448000000\": -0.1104408075, \"1494201600000\": 0.81628752, \"1447286400000\": 0.8009820023, \"1405382400000\": -0.1805335602, \"1489363200000\": 0.8849576234, \"1305590400000\": -0.0154867455, \"1245628800000\": -0.1591054362, \"1399507200000\": -0.2222695068, \"1387411200000\": -0.1953390337, \"1318809600000\": -0.1524265017, \"1200009600000\": 0.0869330909, \"1490140800000\": 0.8860297053, \"1405468800000\": -0.1780506202, \"1334707200000\": -0.1609923945, \"1401148800000\": -0.2131583501, \"1418342400000\": 0.2565996834, \"1501718400000\": 1.0371642951, \"1306886400000\": -0.0546816863, \"1505347200000\": 1.0854229062, \"1358812800000\": -0.1534095183, \"1220486400000\": -0.5021233, \"1468972800000\": 0.6688350446, \"1302048000000\": 0.0333876548, \"1363564800000\": -0.1872830515, \"1340928000000\": -0.2106835484, \"1476921600000\": 0.7448352689, \"1207094400000\": -0.2731820117, \"1283990400000\": -0.1066120572, \"1504742400000\": 1.0762622564, \"1311120000000\": -0.0317480943, \"1361836800000\": -0.1611876926, \"1207699200000\": -0.2281208117, \"1309996800000\": -0.0297560146, \"1477353600000\": 0.7761845013, \"1482451200000\": 0.7794224081, \"1292284800000\": -0.0160877455, \"1386892800000\": -0.1697331937, \"1366329600000\": -0.1769259532, \"1260921600000\": 0.0224459546, \"1431302400000\": 0.9561648204, \"1292976000000\": -0.0292770456, \"1409270400000\": -0.110100994, \"1464134400000\": 0.5126949826, \"1362614400000\": -0.1561532626, \"1464825600000\": 0.5740232526, \"1444953600000\": 0.6493101973, \"1355443200000\": -0.2273815578, \"1329696000000\": -0.1712223237, \"1496966400000\": 0.8872797608, \"1368403200000\": -0.1788401463, \"1470355200000\": 0.6727252002, \"1496361600000\": 0.8402947878, \"1410912000000\": -0.0740927756, \"1243814400000\": -0.236372442, \"1300147200000\": 0.0056666765, \"1253750400000\": -0.1448447031, \"1291161600000\": -0.0466799548, \"1313625600000\": -0.1163567903, \"1248220800000\": -0.0347807362, \"1297641600000\": -0.0088510169, \"1263772800000\": 0.0346095944, \"1399593600000\": -0.2232186829, \"1205712000000\": -0.1569783034, \"1231372800000\": -0.5550320107, \"1289433600000\": 0.0577777675, \"1269561600000\": -0.0127338709, \"1359676800000\": -0.1109259383, \"1229904000000\": -0.5243436683, \"1294790400000\": -0.030339347, \"1512345600000\": 1.0685499688, \"1455840000000\": 0.4780392518, \"1250726400000\": -0.1409431716, \"1375142400000\": -0.2795061311, \"1499126400000\": 0.9381774013, \"1264377600000\": -0.0129300256, \"1324252800000\": -0.2392600531, \"1341792000000\": -0.2389408384, \"1448236800000\": 0.7852595123, \"1458691200000\": 0.5889128001, \"1502928000000\": 1.0260255633, \"1227225600000\": -0.5582527675, \"1502323200000\": 1.0284460251, \"1467244800000\": 0.58204675, \"1449100800000\": 0.8202489419, \"1431907200000\": 0.8869560467, \"1245196800000\": -0.1828080862, \"1393372800000\": -0.2336589391, \"1228262400000\": -0.5484432121, \"1242086400000\": -0.2549271685, \"1464566400000\": 0.5171778626, \"1439164800000\": 0.868690611, \"1379289600000\": -0.1702718679, \"1273017600000\": -0.0818980226, \"1402444800000\": -0.2099611219, \"1500336000000\": 0.9613493723, \"1361318400000\": -0.1215774835, \"1401926400000\": -0.2134508001, \"1282780800000\": -0.1250164743, \"1301356800000\": 0.0243170986, \"1241395200000\": -0.2828594787, \"1292457600000\": -0.0270293356, \"1438300800000\": 0.741413431, \"1330300800000\": -0.1337077437, \"1224720000000\": -0.5945902799, \"1352678400000\": -0.2743221761, \"1239667200000\": -0.3015634334, \"1201564800000\": -0.0505777977, \"1409097600000\": -0.113330454, \"1447718400000\": 0.7883657323, \"1484611200000\": 0.802395122, \"1398384000000\": -0.2154174868, \"1410825600000\": -0.0798240056, \"1493856000000\": 0.8434805979, \"1370476800000\": -0.1766421854, \"1486684800000\": 0.8662217744, \"1346025600000\": -0.2782446699, \"1502409600000\": 0.9857217051, \"1387152000000\": -0.1830100837, \"1287619200000\": 0.0187112414, \"1406851200000\": -0.1153132443, \"1501200000000\": 1.0178497523, \"1302825600000\": 0.0532176248, \"1486425600000\": 0.8363347344, \"1214352000000\": -0.3638304029, \"1268092800000\": -0.0089903289, \"1213660800000\": -0.3952815329, \"1204070400000\": -0.0330955339, \"1477267200000\": 0.7747644913, \"1366675200000\": -0.2008395032, \"1235001600000\": -0.4185585905, \"1262908800000\": 0.0094121255, \"1454457600000\": 0.4279071839, \"1317340800000\": -0.1800893991, \"1441843200000\": 0.5676098229, \"1330473600000\": -0.1399972541, \"1404691200000\": -0.1939860302, \"1261008000000\": -0.0022575054, \"1430784000000\": 0.9373887804, \"1280102400000\": -0.1322495375, \"1221091200000\": -0.5475490815, \"1231459200000\": -0.5440987745, \"1257206400000\": -0.0478196514, \"1337817600000\": -0.1695883625, \"1503273600000\": 1.0338767433, \"1304467200000\": -0.0111703755, \"1442275200000\": 0.4635312229, \"1435017600000\": 1.0598010582, \"1210204800000\": -0.1708783577, \"1435795200000\": 0.8229075055, \"1395964800000\": -0.2177462686, \"1205798400000\": -0.2069417734, \"1291766400000\": -0.0436355655, \"1332806400000\": -0.1731080755, \"1511395200000\": 1.0773102823, \"1343001600000\": -0.2523745937, \"1437523200000\": 0.8780684032, \"1428019200000\": 0.7449245287, \"1249430400000\": 0.0184310778, \"1258588800000\": 0.0365796762, \"1386633600000\": -0.1526529337, \"1217289600000\": -0.3536449651, \"1202169600000\": -0.0203555667, \"1287964800000\": 0.0446732414, \"1244073600000\": -0.212986142, \"1271116800000\": 0.0178530104, \"1511136000000\": 1.0747617823, \"1285545600000\": -0.1183596626, \"1314057600000\": -0.1158357103, \"1403481600000\": -0.2169499396, \"1450137600000\": 0.7835553744, \"1423008000000\": 0.4243403042, \"1235520000000\": -0.4064762005, \"1297382400000\": -0.0313163169, \"1294272000000\": -0.041205487, \"1344902400000\": -0.2403560272, \"1492646400000\": 0.8859457579, \"1451001600000\": 0.8628532914, \"1225324800000\": -0.6265665961, \"1421884800000\": 0.4915591882, \"1243900800000\": -0.234876772, \"1395187200000\": -0.2338597206, \"1402963200000\": -0.2067244919, \"1494374400000\": 0.79985445, \"1381363200000\": -0.1900162815, \"1385510400000\": -0.173897254, \"1381881600000\": -0.1829695889, \"1329868800000\": -0.1545106137, \"1334534400000\": -0.1713662845, \"1353024000000\": -0.2992016261, \"1300060800000\": 0.0205744265, \"1274918400000\": -0.1367911221, \"1481068800000\": 0.8474777046, \"1255996800000\": -0.0698633478, \"1299542400000\": 0.0335499365, \"1221609600000\": -0.5748897315, \"1348012800000\": -0.2838688586, \"1296432000000\": -0.0485747769, \"1341964800000\": -0.2380554337, \"1203292800000\": -0.0104090767, \"1453075200000\": 0.5164292314, \"1421712000000\": 0.4229607482, \"1290729600000\": -0.0305716548, \"1484524800000\": 0.8013511344, \"1249862400000\": -0.0270374622, \"1291593600000\": -0.0417437855, \"1398211200000\": -0.2054838568, \"1371772800000\": -0.2457452172, \"1442361600000\": 0.5435720929, \"1384473600000\": -0.1909002747, \"1374537600000\": -0.2605795584, \"1431648000000\": 0.9093482004, \"1204848000000\": -0.0194287534, \"1507507200000\": 1.0925917857, \"1344816000000\": -0.2437891672, \"1372896000000\": -0.2785248867, \"1368489600000\": -0.1886453363, \"1444348800000\": 0.5556407877, \"1210809600000\": -0.1502116377, \"1407456000000\": -0.1106748316, \"1417737600000\": 0.2378936634, \"1250640000000\": -0.1742508622, \"1330560000000\": -0.1397330841, \"1462752000000\": 0.5105034704, \"1257465600000\": -0.0282104738, \"1448841600000\": 0.7191887419, \"1307577600000\": -0.0693557463, \"1488153600000\": 0.8876962888, \"1457049600000\": 0.5090232443, \"1293580800000\": -0.0673235756, \"1406246400000\": -0.1402953343, \"1376438400000\": -0.2266374567, \"1418688000000\": 0.2976124794, \"1206921600000\": -0.1955751285, \"1249603200000\": -0.0274907722, \"1364169600000\": -0.1547335835, \"1234742400000\": -0.3708171305, \"1403049600000\": -0.2102731519, \"1411516800000\": -0.0609849756, \"1227052800000\": -0.5475743475, \"1435881600000\": 0.7343217455, \"1208217600000\": -0.2372194217, \"1443052800000\": 0.5189837277, \"1284681600000\": -0.1310993326, \"1503532800000\": 1.0143507033, \"1417392000000\": 0.1247710374, \"1203897600000\": -0.0656167139, \"1510272000000\": 1.0999799174, \"1424131200000\": 0.4725986096, \"1371600000000\": -0.2179961672, \"1347840000000\": -0.279267427, \"1315872000000\": -0.1453110924, \"1297814400000\": 0.0020017431, \"1438732800000\": 0.777832691, \"1510185600000\": 1.0985520174, \"1469491200000\": 0.6943288441, \"1293408000000\": -0.0552062656, \"1372291200000\": -0.2948450067, \"1494288000000\": 0.81557031, \"1498694400000\": 0.9468964527, \"1399334400000\": -0.2192351068, \"1255564800000\": -0.1031019778, \"1292544000000\": -0.0282292056, \"1279238400000\": -0.1938369247, \"1343606400000\": -0.2560540238, \"1205971200000\": -0.1528289685, \"1320019200000\": -0.1439285904, \"1461024000000\": 0.5960390359, \"1404950400000\": -0.2011060502, \"1234396800000\": -0.4121642585, \"1335916800000\": -0.1313012536, \"1464652800000\": 0.5745128226, \"1350432000000\": -0.2742173414, \"1304035200000\": 0.00570114, \"1357516800000\": -0.1700797864, \"1288051200000\": 0.0408594014, \"1449705600000\": 0.7470722544, \"1251417600000\": -0.1540503216, \"1482278400000\": 0.7926136481, \"1228780800000\": -0.5236919621, \"1422230400000\": 0.5095617382, \"1300838400000\": 0.0222379186, \"1253059200000\": -0.1011185197, \"1335484800000\": -0.1500837836, \"1255651200000\": -0.1061171678, \"1445212800000\": 0.6537411873, \"1424044800000\": 0.4576053596, \"1351728000000\": -0.2681780655, \"1316649600000\": -0.1538941624, \"1393200000000\": -0.2201984734, \"1311638400000\": -0.0674365443, \"1271030400000\": 0.0063186904, \"1362355200000\": -0.1764398026, \"1485388800000\": 0.847777332, \"1314316800000\": -0.0909224411, \"1458259200000\": 0.5576243301, \"1363910400000\": -0.1543684215, \"1219017600000\": -0.5100017622, \"1458777600000\": 0.5579194701, \"1314230400000\": -0.0902104711, \"1232409600000\": -0.5072407345, \"1299628800000\": 0.0342904765, \"1500595200000\": 1.0144629723, \"1420502400000\": 0.5086556577, \"1392249600000\": -0.2071089934, \"1201824000000\": -0.0974345367, \"1344470400000\": -0.2332559872, \"1357603200000\": -0.1744161164, \"1499299200000\": 0.9543805613, \"1474588800000\": 0.7153325942, \"1465776000000\": 0.5247073697, \"1430265600000\": 1.0133978302, \"1271808000000\": -0.0323196837, \"1248393600000\": -0.0118146822, \"1225756800000\": -0.6419763061, \"1347494400000\": -0.267601857, \"1382054400000\": -0.1828060589, \"1221177600000\": -0.5453651015, \"1434412800000\": 1.1589126782, \"1294358400000\": -0.030313107, \"1337299200000\": -0.1748730125, \"1331683200000\": -0.1529390675, \"1360108800000\": -0.1025604535, \"1437004800000\": 0.8229927232, \"1265328000000\": -0.0583540368, \"1372204800000\": -0.2945927872, \"1369785600000\": -0.1477826854, \"1262217600000\": 0.0276521722, \"1260748800000\": 0.0351443846, \"1287360000000\": 0.0061715508, \"1472428800000\": 0.7348031153, \"1322179200000\": -0.1802336103, \"1364342400000\": -0.1655190135, \"1297296000000\": -0.0361500669, \"1486598400000\": 0.8541689344, \"1221523200000\": -0.5621777315, \"1224547200000\": -0.5863774399, \"1216252800000\": -0.4028154074, \"1259884800000\": 0.0374450146, \"1228694400000\": -0.5102832721, \"1362700800000\": -0.1571053226, \"1358467200000\": -0.1580949964, \"1270771200000\": 0.0163727004, \"1274659200000\": -0.1318672721, \"1210291200000\": -0.1785154577, \"1406505600000\": -0.1161775943, \"1438214400000\": 0.725557921, \"1275264000000\": -0.1573886821, \"1201219200000\": 0.0036864323, \"1207008000000\": -0.2524590485, \"1352332800000\": -0.2813954061, \"1468800000000\": 0.6799591846, \"1415059200000\": -0.0133153553, \"1336521600000\": -0.1489836936, \"1335398400000\": -0.1475325445, \"1374710400000\": -0.2681666911, \"1389225600000\": -0.2462934756, \"1413763200000\": -0.0517408913, \"1208476800000\": -0.3113486894, \"1230076800000\": -0.5592158107, \"1423094400000\": 0.4064235442, \"1447113600000\": 0.8118893539, \"1459814400000\": 0.6102137022, \"1496793600000\": 0.8661772308, \"1237766400000\": -0.3686164859, \"1356307200000\": -0.2214380214, \"1259625600000\": 0.015196259, \"1240963200000\": -0.3143104587, \"1506384000000\": 1.0640158857, \"1320278400000\": -0.1282290604, \"1474934400000\": 0.6970900942, \"1461196800000\": 0.5514019659, \"1463529600000\": 0.5096394159, \"1210118400000\": -0.1897482877, \"1313712000000\": -0.1254795603, \"1330905600000\": -0.1284990441, \"1493683200000\": 0.8546033079, \"1430352000000\": 1.0033722102, \"1494979200000\": 0.83344846, \"1332979200000\": -0.2089464555, \"1225670400000\": -0.6362725261, \"1298592000000\": -0.0124814724, \"1303430400000\": 0.03690908, \"1273536000000\": -0.1484270226, \"1253664000000\": -0.1494612231, \"1288742400000\": 0.0368981114, \"1441584000000\": 0.5234661196, \"1223510400000\": -0.5617758988, \"1257120000000\": -0.0600939314, \"1366243200000\": -0.1947634132, \"1411430400000\": -0.0771748156, \"1482105600000\": 0.7841710081, \"1448496000000\": 0.8015119919, \"1360281600000\": -0.1050311835, \"1275955200000\": -0.1902475354, \"1439856000000\": 0.7418791684, \"1390953600000\": -0.2260321386, \"1378857600000\": -0.1677435479, \"1267747200000\": -0.0220371007, \"1323129600000\": -0.2003228803, \"1342396800000\": -0.2475497037, \"1204588800000\": -0.0138019639, \"1310083200000\": -0.0274763446, \"1310342400000\": -0.0270809846, \"1226534400000\": -0.5699893175, \"1403568000000\": -0.2104532596, \"1373328000000\": -0.2944480467, \"1489968000000\": 0.8885354234, \"1386720000000\": -0.1655221637, \"1493078400000\": 0.8679423279, \"1457913600000\": 0.5037473901, \"1400198400000\": -0.2161356129, \"1333584000000\": -0.1893415355, \"1298419200000\": -0.0183232824, \"1334620800000\": -0.1796339945, \"1505174400000\": 1.0891444662, \"1330387200000\": -0.1304859041, \"1402617600000\": -0.2039338019, \"1233878400000\": -0.4420193685, \"1513209600000\": 1.0530426575, \"1326758400000\": -0.1991258084, \"1295222400000\": -0.0782196871, \"1419897600000\": 0.4185797777, \"1468368000000\": 0.6830265846, \"1341273600000\": -0.2115440484, \"1220832000000\": -0.54267542, \"1405900800000\": -0.1774700243, \"1239148800000\": -0.3486166369, \"1498003200000\": 0.9050313827, \"1258416000000\": 0.0201190562, \"1240272000000\": -0.2922394834, \"1456876800000\": 0.4964926943, \"1420761600000\": 0.4650734377, \"1328572800000\": -0.2000156969, \"1389744000000\": -0.2450367056, \"1223251200000\": -0.5365970088, \"1472688000000\": 0.7248699955, \"1402358400000\": -0.2091360719, \"1247443200000\": -0.0960343762, \"1384300800000\": -0.2076686347, \"1333929600000\": -0.1980406555, \"1359417600000\": -0.1342421983, \"1453680000000\": 0.5268384939, \"1343347200000\": -0.2530315938, \"1401753600000\": -0.2134673901, \"1400112000000\": -0.2171631129, \"1265068800000\": -0.0603316168, \"1305763200000\": -0.0135897822, \"1463961600000\": 0.5261798459, \"1253232000000\": -0.1110547731, \"1453852800000\": 0.4151218239, \"1204675200000\": -0.0185436134, \"1366588800000\": -0.1781685632, \"1509926400000\": 1.0572676174, \"1461283200000\": 0.5611161459, \"1398124800000\": -0.2053508334, \"1392940800000\": -0.2049218034, \"1379030400000\": -0.1631210879, \"1258502400000\": 0.0281354962, \"1385942400000\": -0.172742344, \"1234483200000\": -0.3905752905, \"1429228800000\": 0.9085341402, \"1257811200000\": -0.0251624338, \"1222300800000\": -0.5127426588, \"1330646400000\": -0.1255432541, \"1227657600000\": -0.5782147621, \"1275436800000\": -0.1671179254, \"1498608000000\": 0.9374338827, \"1272412800000\": -0.0686947837, \"1480636800000\": 0.8741410408, \"1354838400000\": -0.2641094778, \"1351555200000\": -0.2843774955, \"1368057600000\": -0.1834108033, \"1364515200000\": -0.1852513835, \"1510012800000\": 1.0786095174, \"1318464000000\": -0.1509025191, \"1468281600000\": 0.6744340946, \"1500940800000\": 1.0136312023, \"1416528000000\": 0.0202613274, \"1240876800000\": -0.3379995187, \"1320364800000\": -0.1224961104, \"1347926400000\": -0.287909497, \"1452643200000\": 0.5401524314, \"1264550400000\": -0.0488883556, \"1328832000000\": -0.1744197769, \"1246320000000\": -0.1445490616, \"1231200000000\": -0.5416871107, \"1414022400000\": -0.0739307404, \"1243987200000\": -0.216175512, \"1359590400000\": -0.1252309783, \"1213920000000\": -0.4018777529, \"1237939200000\": -0.3791373959, \"1373932800000\": -0.2443644184, \"1378080000000\": -0.2259184064, \"1382918400000\": -0.1943552683, \"1209945600000\": -0.1360936877, \"1446163200000\": 0.6598626739, \"1291852800000\": -0.0555148155, \"1494460800000\": 0.80388362, \"1418947200000\": 0.3339412994, \"1239062400000\": -0.3241976769, \"1490227200000\": 0.8910903753, \"1303776000000\": 0.01652289, \"1479081600000\": 0.8184691916, \"1260230400000\": 0.0362843646, \"1404864000000\": -0.2022762102, \"1263254400000\": 0.0345882855, \"1311897600000\": -0.064159351, \"1288224000000\": 0.0311004414, \"1258070400000\": -0.0135502638, \"1466553600000\": 0.5673392197, \"1213315200000\": -0.3584577309, \"1450915200000\": 0.8555996214, \"1281571200000\": -0.1306727575, \"1199923200000\": 0.0815786609, \"1386115200000\": -0.150744654, \"1300233600000\": 0.0182293165, \"1499212800000\": 0.9527146813, \"1229299200000\": -0.5383992783, \"1268870400000\": -0.0185026489, \"1273622400000\": -0.1425198126, \"1505865600000\": 1.0880226362, \"1345075200000\": -0.2536479972, \"1383782400000\": -0.1950459683, \"1211500800000\": -0.2060733117, \"1234828800000\": -0.3932547905, \"1202947200000\": -0.0198484867, \"1295913600000\": -0.0822515471, \"1363305600000\": -0.1725649615, \"1213747200000\": -0.3632073629, \"1408665600000\": -0.094731984, \"1381190400000\": -0.1871422515, \"1251331200000\": -0.1285376916, \"1452556800000\": 0.5648320114, \"1457481600000\": 0.4968473743, \"1247529600000\": -0.0761671162, \"1251763200000\": -0.2079845116, \"1510531200000\": 1.1056999174, \"1434326400000\": 1.2324138882, \"1403740800000\": -0.2094552596, \"1248134400000\": -0.0526140762, \"1402531200000\": -0.2121009019, \"1407801600000\": -0.1006057616, \"1334275200000\": -0.1701885845, \"1382572800000\": -0.1865277989, \"1263340800000\": 0.0060424755, \"1450224000000\": 0.7824314444, \"1437955200000\": 0.7270765532, \"1506297600000\": 1.0604161062, \"1424908800000\": 0.4920352896, \"1219363200000\": -0.4850267122, \"1310515200000\": -0.0302516346, \"1512691200000\": 1.0590313688, \"1282521600000\": -0.1108411643, \"1359072000000\": -0.1616533683, \"1431993600000\": 0.9609028567, \"1444262400000\": 0.5306679077, \"1270512000000\": 0.0219003004, \"1294617600000\": -0.046850327, \"1371168000000\": -0.2104236072, \"1245888000000\": -0.1502205616, \"1355270400000\": -0.2571839878, \"1335139200000\": -0.1579602845, \"1432252800000\": 1.0565404567, \"1446681600000\": 0.7533430939, \"1205107200000\": -0.0506546434, \"1505692800000\": 1.0886911362, \"1259798400000\": 0.026826269, \"1453420800000\": 0.5175703039, \"1384732800000\": -0.1723521747, \"1443484800000\": 0.4676033077, \"1201737600000\": -0.0749027767, \"1236211200000\": -0.410356097, \"1221696000000\": -0.5808205915, \"1372809600000\": -0.2861259967, \"1428364800000\": 0.7800901987, \"1288310400000\": 0.0293377614, \"1470182400000\": 0.6670839641, \"1448928000000\": 0.7364297219, \"1444867200000\": 0.6301997173, \"1267488000000\": -0.0078935307, \"1297987200000\": -0.0057543924, \"1385337600000\": -0.178057954, \"1485302400000\": 0.838618552, \"1224806400000\": -0.6050552099, \"1388361600000\": -0.2113377898, \"1460592000000\": 0.6235549159, \"1495065600000\": 0.82383615, \"1294099200000\": -0.040031427, \"1267660800000\": -0.0247713807, \"1479772800000\": 0.8328896308, \"1353974400000\": -0.3048788207, \"1371081600000\": -0.2143749972, \"1236038400000\": -0.457537847, \"1271980800000\": -0.0482678937, \"1403654400000\": -0.2147295996, \"1231891200000\": -0.5305325545, \"1324425600000\": -0.2470807231, \"1393545600000\": -0.2307275291, \"1403222400000\": -0.2174066419, \"1278288000000\": -0.2357308747, \"1397520000000\": -0.1955152234, \"1462320000000\": 0.5864748604, \"1495152000000\": 0.8223304278, \"1416441600000\": 0.0010674874, \"1228435200000\": -0.5324406421, \"1446768000000\": 0.7968725039, \"1290124800000\": -0.0274027648, \"1514160000000\": 1.0387673575, \"1323388800000\": -0.2048846531, \"1366848000000\": -0.1970851033, \"1411344000000\": -0.0847302856, \"1413331200000\": -0.0493671813, \"1264982400000\": -0.0599964568, \"1430179200000\": 1.0032948502, \"1449532800000\": 0.7448569319, \"1467676800000\": 0.62728889, \"1354492800000\": -0.3145617007, \"1242000000000\": -0.2703060587, \"1487894400000\": 0.9022028688, \"1465862400000\": 0.5305329297, \"1485129600000\": 0.830946772, \"1363824000000\": -0.1553835515, \"1253491200000\": -0.1068322931, \"1427932800000\": 0.7236333687, \"1476403200000\": 0.7323777389, \"1219190400000\": -0.4576649122, \"1278892800000\": -0.1742445547, \"1413244800000\": -0.0568462813, \"1410220800000\": -0.0684235365, \"1398816000000\": -0.2183776368, \"1242691200000\": -0.2356298485, \"1245283200000\": -0.1699247762, \"1319673600000\": -0.1532420217, \"1442534400000\": 0.5162397229, \"1447027200000\": 0.8143235839, \"1353283200000\": -0.2975574961, \"1415318400000\": -0.0217724353, \"1452038400000\": 0.7202884914, \"1224633600000\": -0.5955926299, \"1482796800000\": 0.7861229481, \"1280793600000\": -0.1137642675, \"1471305600000\": 0.7591707702, \"1432080000000\": 0.9660760567, \"1475020800000\": 0.6908860742, \"1496275200000\": 0.8361460278, \"1223337600000\": -0.5396273888, \"1484870400000\": 0.824291912, \"1484092800000\": 0.8062668344, \"1451433600000\": 0.8231241514, \"1320624000000\": -0.1319993104, \"1370563200000\": -0.1889739054, \"1271635200000\": -0.0484568596, \"1213833600000\": -0.4179675929, \"1400025600000\": -0.2069949229, \"1450656000000\": 0.8635165444, \"1445472000000\": 0.6436089173, \"1285718400000\": -0.1265719826, \"1373587200000\": -0.2576135684, \"1483920000000\": 0.8207610344, \"1270598400000\": 0.0170142404, \"1414627200000\": -0.0373185304, \"1301011200000\": 0.0319669086, \"1418860800000\": 0.3157455994, \"1241568000000\": -0.2661008087, \"1229472000000\": -0.5299483083, \"1218412800000\": -0.4682403851, \"1277942400000\": -0.2346001568, \"1380067200000\": -0.1888095115, \"1484006400000\": 0.8170193044, \"1220572800000\": -0.52258343, \"1492128000000\": 0.9075404199, \"1371513600000\": -0.2101098172, \"1407196800000\": -0.0975579016, \"1238630400000\": -0.3329993969, \"1468195200000\": 0.6349114046, \"1208131200000\": -0.2564790917, \"1215648000000\": -0.3383439706, \"1431475200000\": 0.9623841904, \"1250035200000\": -0.0651407822, \"1470268800000\": 0.6701589202, \"1326153600000\": -0.2053070684, \"1476316800000\": 0.7301877789, \"1306713600000\": -0.0691002022, \"1395878400000\": -0.2169176886, \"1245974400000\": -0.1459726616, \"1226448000000\": -0.5910084075, \"1347235200000\": -0.256982977, \"1431043200000\": 0.9043382004, \"1216339200000\": -0.3758261274, \"1329436800000\": -0.1729618837, \"1417564800000\": 0.1732383834, \"1464739200000\": 0.5701445626, \"1480550400000\": 0.8939734108, \"1456185600000\": 0.5011184018, \"1243382400000\": -0.256220902, \"1373500800000\": -0.2408122184, \"1238457600000\": -0.3524328669, \"1215129600000\": -0.3976195006, \"1222128000000\": -0.5327668615, \"1313971200000\": -0.1313228803, \"1493164800000\": 0.8702517979, \"1513036800000\": 1.0486145575, \"1289347200000\": 0.0537743775, \"1234310400000\": -0.4107790485, \"1325030400000\": -0.2541129362, \"1338336000000\": -0.1550408446, \"1469577600000\": 0.6725607241, \"1481500800000\": 0.8206063546, \"1228953600000\": -0.5213452583, \"1513728000000\": 1.0385310575, \"1219622400000\": -0.4860989122, \"1456358400000\": 0.4114209918, \"1236643200000\": -0.423598327, \"1261526400000\": -0.0388224978, \"1394582400000\": -0.2511382206, \"1328054400000\": -0.2112339769, \"1199750400000\": 0.0473330409, \"1396224000000\": -0.2191012186, \"1481846400000\": 0.7879756246, \"1430956800000\": 0.8721494504, \"1374019200000\": -0.2538852584, \"1384905600000\": -0.1692848347, \"1204243200000\": -0.0236530239, \"1337212800000\": -0.1630609725, \"1344556800000\": -0.2345536572, \"1421971200000\": 0.4972212682, \"1250467200000\": -0.1442538722, \"1378252800000\": -0.2172288164, \"1491350400000\": 0.9195889753, \"1458000000000\": 0.5050527401, \"1503446400000\": 1.0268690733, \"1461801600000\": 0.5494825304, \"1253577600000\": -0.1296978031, \"1427760000000\": 0.6940850336, \"1504656000000\": 1.0893715064, \"1376870400000\": -0.2294539467, \"1307923200000\": -0.0698408663, \"1391990400000\": -0.2165640686, \"1382400000000\": -0.1747954689, \"1308528000000\": -0.094506509, \"1268784000000\": -0.0178419389, \"1451952000000\": 0.6857108814, \"1295481600000\": -0.0887953871, \"1236729600000\": -0.427420947, \"1500508800000\": 1.0140903523, \"1420416000000\": 0.5127413677, \"1332288000000\": -0.1616472875, \"1292803200000\": -0.0436371856, \"1412035200000\": -0.0561899413, \"1282176000000\": -0.0918500843, \"1375228800000\": -0.2785559211, \"1318377600000\": -0.1578189491, \"1248652800000\": 0.0079153578, \"1381276800000\": -0.1843165815, \"1269475200000\": -0.0266553109, \"1293148800000\": -0.0354787156, \"1200355200000\": 0.1043183609, \"1208390400000\": -0.2795247294, \"1501459200000\": 1.0374113123, \"1420675200000\": 0.4639870877, \"1435622400000\": 0.9854546255, \"1311033600000\": -0.0307065343, \"1341532800000\": -0.2166026884, \"1409875200000\": -0.0669569165, \"1207180800000\": -0.2493749817, \"1495670400000\": 0.8459414578, \"1277251200000\": -0.1659105968, \"1375056000000\": -0.2845042911, \"1204156800000\": -0.0331696039, \"1252368000000\": -0.1313930897, \"1428624000000\": 0.8125632487, \"1422835200000\": 0.4091541942, \"1413849600000\": -0.0604228704, \"1455667200000\": 0.4819895818, \"1491782400000\": 0.9244006599, \"1505088000000\": 1.0810597564, \"1472169600000\": 0.7331038053, \"1478822400000\": 0.8072823316, \"1351814400000\": -0.2630997555, \"1411948800000\": -0.0573689956, \"1240531200000\": -0.3226324834, \"1299801600000\": 0.0148067265, \"1265932800000\": -0.0351757268, \"1282694400000\": -0.1284779343, \"1350864000000\": -0.2605690414, \"1322438400000\": -0.1801666603, \"1421280000000\": 0.5015566982, \"1487203200000\": 0.8837712744, \"1511913600000\": 1.0830453688, \"1312416000000\": -0.071014391, \"1368144000000\": -0.1766784833, \"1418169600000\": 0.2673206834, \"1358726400000\": -0.1516667883, \"1251244800000\": -0.1296423416, \"1492473600000\": 0.8879798099, \"1242604800000\": -0.2417888185, \"1411084800000\": -0.0652119256, \"1511222400000\": 1.1085200823, \"1364947200000\": -0.1828748635, \"1312761600000\": -0.129586031, \"1278979200000\": -0.1881713947, \"1212624000000\": -0.2355753509, \"1257724800000\": -0.0259768238, \"1474502400000\": 0.7199203442, \"1287100800000\": 0.0060348108, \"1215993600000\": -0.3373618506, \"1224201600000\": -0.5983002799, \"1490832000000\": 0.8818002553, \"1441065600000\": 0.5539706896, \"1489708800000\": 0.8819788634, \"1387843200000\": -0.2123087498, \"1419379200000\": 0.2931598694, \"1244160000000\": -0.218489752, \"1238025600000\": -0.3577624959, \"1487721600000\": 0.9139476688, \"1370217600000\": -0.1549299354, \"1514505600000\": 1.0559051871, \"1454630400000\": 0.4283582618, \"1274140800000\": -0.1612565726, \"1343865600000\": -0.2538943638, \"1426118400000\": 0.5089554183, \"1386547200000\": -0.1540186737, \"1222387200000\": -0.5088149688, \"1453161600000\": 0.5649750114, \"1458864000000\": 0.5689365822, \"1486339200000\": 0.838934132, \"1422921600000\": 0.4423789642, \"1332201600000\": -0.1629697575, \"1240790400000\": -0.3434283687, \"1426809600000\": 0.6221750536, \"1350000000000\": -0.2725110014, \"1457654400000\": 0.4746278901, \"1484179200000\": 0.7984958844, \"1346198400000\": -0.2784449999, \"1252454400000\": -0.1249049597, \"1379376000000\": -0.1906972879, \"1234915200000\": -0.4244623405, \"1384992000000\": -0.1728866047, \"1299715200000\": 0.0205164265, \"1262649600000\": 0.0290531355, \"1336694400000\": -0.1545357736, \"1223856000000\": -0.5683099588, \"1351468800000\": -0.2856410555, \"1454544000000\": 0.4436703039, \"1216857600000\": -0.3360713374, \"1329264000000\": -0.1695190137, \"1383609600000\": -0.1844501083, \"1468886400000\": 0.6716634946, \"1403827200000\": -0.2074773596, \"1212537600000\": -0.2301480509, \"1488240000000\": 0.8926490688, \"1430870400000\": 0.9182929704, \"1377648000000\": -0.2256488964, \"1443398400000\": 0.4995350977, \"1394150400000\": -0.2329382591, \"1280880000000\": -0.1105360375, \"1308873600000\": -0.046070729, \"1342483200000\": -0.2420789537, \"1313366400000\": -0.0897641703, \"1309824000000\": -0.0214830946, \"1382313600000\": -0.1694524989, \"1426723200000\": 0.6046043136, \"1260316800000\": 0.0156128446, \"1502150400000\": 1.0460113851, \"1274832000000\": -0.1493855421, \"1313539200000\": -0.1005236303, \"1336089600000\": -0.1285357536, \"1268697600000\": -0.0371052689, \"1306800000000\": -0.0545102722, \"1266969600000\": -0.0297475707, \"1338249600000\": -0.1527618446, \"1272931200000\": -0.0903113137, \"1264636800000\": -0.0448401856, \"1504483200000\": 1.0901507064, \"1419984000000\": 0.4521668877, \"1426204800000\": 0.5155133083, \"1402012800000\": -0.2189368101, \"1241481600000\": -0.2787050287, \"1455753600000\": 0.4779496618, \"1313107200000\": -0.1036985103, \"1277337600000\": -0.1656082068, \"1328659200000\": -0.1773088269, \"1304553600000\": -0.0111154355, \"1210550400000\": -0.1663985677, \"1282867200000\": -0.1234911943, \"1296000000000\": -0.0719988071, \"1352851200000\": -0.2847073261, \"1294963200000\": -0.0453632671, \"1490659200000\": 0.8986696253, \"1258675200000\": 0.035667999, \"1227139200000\": -0.5520965175, \"1504828800000\": 1.0742289064, \"1494547200000\": 0.81412732, \"1321574400000\": -0.1678941816, \"1366934400000\": -0.2028520333, \"1329350400000\": -0.1730954437, \"1433376000000\": 1.1587480388, \"1470009600000\": 0.6575560741, \"1228867200000\": -0.5076246883, \"1340668800000\": -0.2102510395, \"1260835200000\": 0.0277877646, \"1433808000000\": 1.2479649288, \"1513900800000\": 1.0469596575, \"1496707200000\": 0.8459889008, \"1476057600000\": 0.7248471889, \"1408924800000\": -0.103019764, \"1374796800000\": -0.2699543211, \"1201478400000\": -0.0646300477, \"1300665600000\": 0.0048265286, \"1354752000000\": -0.2808396578, \"1417478400000\": 0.1622039334, \"1378944000000\": -0.1567366779, \"1299024000000\": 0.0050971276, \"1256688000000\": -0.0766539414, \"1499385600000\": 0.9625695613, \"1200614400000\": 0.0625425923, \"1389052800000\": -0.2398645056, \"1374624000000\": -0.2656499884, \"1479859200000\": 0.8343674208, \"1390348800000\": -0.2242871786, \"1449014400000\": 0.7998870419, \"1461888000000\": 0.5492410204, \"1410480000000\": -0.0687116665, \"1465257600000\": 0.5792279697, \"1440547200000\": 0.3904449396, \"1506643200000\": 1.0676586657, \"1453334400000\": 0.4997520214, \"1223596800000\": -0.5851877988, \"1356048000000\": -0.2246245514, \"1435190400000\": 1.0436873382, \"1363046400000\": -0.1703468515, \"1482192000000\": 0.7744807481, \"1203379200000\": 0.0128488433, \"1381968000000\": -0.1850160689, \"1377561600000\": -0.2251138864, \"1388620800000\": -0.2075327198, \"1210723200000\": -0.1457610777, \"1467849600000\": 0.6325615446, \"1421366400000\": 0.5170050082, \"1447200000000\": 0.8156614239, \"1313020800000\": -0.1102576503, \"1391731200000\": -0.2327545286, \"1369872000000\": -0.1503840354, \"1356393600000\": -0.1988956114, \"1383004800000\": -0.1958131083, \"1265846400000\": -0.0450326968, \"1291334400000\": -0.0421736455, \"1415836800000\": 0.0204111147, \"1403136000000\": -0.2218158919, \"1446595200000\": 0.7124598239, \"1267056000000\": -0.0135742007, \"1210896000000\": -0.1589654877, \"1240185600000\": -0.2865234934, \"1319760000000\": -0.1384366204, \"1247011200000\": -0.0994799616, \"1259107200000\": 0.036643699, \"1302134400000\": 0.0370803148, \"1437436800000\": 0.8837638932, \"1471392000000\": 0.7601105502, \"1346803200000\": -0.293213587, \"1395705600000\": -0.2085674886, \"1448323200000\": 0.7879845523, \"1217462400000\": -0.3759610351, \"1355356800000\": -0.2659781578, \"1340064000000\": -0.1856933195, \"1263945600000\": 0.0032262744, \"1345161600000\": -0.2519937472, \"1442188800000\": 0.5221161629, \"1453766400000\": 0.4215704039, \"1357776000000\": -0.1746806664, \"1387324800000\": -0.1882228537, \"1414972800000\": -0.0148220604, \"1274400000000\": -0.1608261721, \"1209427200000\": -0.1929445794, \"1385424000000\": -0.178655934, \"1354579200000\": -0.3066321607, \"1476662400000\": 0.7191463589, \"1270684800000\": 0.0066472104, \"1265155200000\": -0.0364414668, \"1354147200000\": -0.3128921607, \"1246233600000\": -0.1367270416, \"1428883200000\": 0.8443999287, \"1312502400000\": -0.093014131, \"1346630400000\": -0.2787532399, \"1348790400000\": -0.2843133286, \"1306281600000\": -0.0579504422, \"1284076800000\": -0.1048761072, \"1346371200000\": -0.2814519599, \"1316736000000\": -0.1584939891, \"1436918400000\": 0.8063846132, \"1476230400000\": 0.7275345689, \"1210636800000\": -0.1706396377, \"1334880000000\": -0.1513235945, \"1473379200000\": 0.7393143355, \"1249257600000\": 0.0277747678, \"1257292800000\": -0.0418522314, \"1381708800000\": -0.1692197489, \"1472515200000\": 0.7343950353, \"1502755200000\": 1.0103373433, \"1415145600000\": -0.0194476853, \"1356480000000\": -0.1973436414, \"1496880000000\": 0.8759837308, \"1364428800000\": -0.1883335835, \"1511740800000\": 1.0717114823, \"1241049600000\": -0.3087972587, \"1293753600000\": -0.056758347, \"1460419200000\": 0.5893886359, \"1365638400000\": -0.1839637432, \"1271721600000\": -0.0504419137, \"1440115200000\": 0.6447715684, \"1466035200000\": 0.5392087197, \"1365552000000\": -0.1817446232, \"1315526400000\": -0.1371729424, \"1406764800000\": -0.1083232243, \"1312243200000\": -0.070913261, \"1433116800000\": 1.1053663988, \"1268352000000\": -0.0315236789, \"1220227200000\": -0.50377041, \"1440374400000\": 0.4956251384, \"1307664000000\": -0.0666878163, \"1321228800000\": -0.1256582516, \"1292889600000\": -0.0208698756, \"1237507200000\": -0.3811145759, \"1275350400000\": -0.1671032321}}'"
      }
     ],
     "trading_days": ""
    },
    {
     "cell_type": "markdown",
     "id": "403C029D8FFB48E7881575A0C371D886",
     "metadata": {},
     "source": [
      "\u57fa\u4e8e\u98ce\u9669\u56e0\u5b50\u7684Smart Beta\u2014\u2014\u6210\u957f\n",
      "---\n",
      "\n",
      "- \u6210\u957f\u56e0\u5b50\u4e13\u6ce8\u4e8e\u9009\u53d6\u5177\u6709\u9ad8\u6210\u957f\u6027\u7684\u516c\u53f8\uff0c\u8ba4\u4e3a\u9ad8\u6210\u957f\u6027\u516c\u53f8\u76f8\u6bd4\u4f4e\u6210\u957f\u6027\u516c\u53f8\u6709\u8d85\u989d\u6536\u76ca\n",
      "- \u9009\u53d6`\u8425\u4e1a\u6536\u5165\u589e\u957f\u7387\u3001\u603b\u8d44\u4ea7\u589e\u957f\u7387\u3001\u5f52\u5c5e\u4e8e\u6bcd\u516c\u53f8\u6240\u6709\u8005\u51c0\u5229\u6da6\u589e\u957f\u7387`\u6765\u6784\u5efa\u6210\u957f\u56e0\u5b50\uff0c\u7b49\u6743\u5408\u6210 "
     ]
    },
    {
     "cell_type": "strategy",
     "collapsed": false,
     "has_detail": true,
     "id": "DE1E63A8D0794C6E8E9524AFA426E930",
     "input": "import numpy as np\nimport pandas as pd\nstart = '2008-01-01'\nend = '2017-12-31'   # \u56de\u6d4b\u7ed3\u675f\u65f6\u95f4\nuniverse = DynamicUniverse('HS300') + DynamicUniverse('ZZ500')\nbenchmark = 'HS300'                       # \u7b56\u7565\u53c2\u8003\u6807\u51c6\nfreq = 'd'                              # \u7b56\u7565\u7c7b\u578b\uff0c'd'\u8868\u793a\u65e5\u95f4\u7b56\u7565\u4f7f\u7528\u65e5\u7ebf\u56de\u6d4b\uff0c'm'\u8868\u793a\u65e5\u5185\u7b56\u7565\u4f7f\u7528\u5206\u949f\u7ebf\u56de\u6d4b\nrefresh_rate = 10                          # \u8c03\u4ed3\u9891\u7387\n\naccounts = {\n    'fantasy_account': AccountConfig(account_type='security', capital_base=10000000)\n}\n\ndef initialize(context):                   # \u521d\u59cb\u5316\u865a\u62df\u8d26\u6237\u72b6\u6001  \n    context.signal_generator = SignalGenerator(Signal('TotalAssetGrowRate'), Signal('NPParentCompanyGrowRate'), Signal('OperatingRevenueGrowRate'))\n\ndef handle_data(context):                  # \u6bcf\u4e2a\u4ea4\u6613\u65e5\u7684\u4e70\u5165\u5356\u51fa\u6307\u4ee4 \n    account = context.get_account('fantasy_account')\n    current_universe = context.get_universe(exclude_halt=True)\n    yesterday = context.previous_date.strftime('%Y-%m-%d')\n                                                                                       \n    signals = context.history(current_universe, ['TotalAssetGrowRate', 'NPParentCompanyGrowRate', 'OperatingRevenueGrowRate'], 1, freq='1d', rtype='frame',style='tas')[yesterday]\n    signal1 = standardize(winsorize(signals['TotalAssetGrowRate']))\n    signal2 = standardize(winsorize(signals['NPParentCompanyGrowRate']))\n    signal3 = standardize(winsorize(signals['OperatingRevenueGrowRate']))\n    signal = (0.33*signal1).add(0.34*signal2, fill_value=0.0).add(0.33*signal3, fill_value=0.0)\n    wts = long_only(signal.to_dict(), select_type=1, top_ratio=0.2, weight_type=1, target_date=yesterday)\n    \n    # \u4ea4\u6613\u90e8\u5206\n    positions = account.get_positions()\n    sell_list = [stk for stk in positions if stk not in wts]\n    for stk in sell_list:\n        order_to(stk,0)\n\n    c = account.portfolio_value\n    change = {}\n                                               \n    for stock, w in wts.iteritems():\n        p = account.reference_price[stock]\n\n        if not np.isnan(p) and p > 0:\n            if stock in positions:\n                change[stock] = int(c * w / p) - positions[stock].amount\n            else:\n                change[stock] = int(c * w / p) - 0\n\n    for stock in sorted(change, key=change.get):\n        account.order(stock, change[stock])",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 3,
       "text": "'{\"information\": 0.74498, \"benchmark_cumulative_return\": {\"1243296000000\": -0.490517545, \"1355097600000\": -0.5745727088, \"1283126400000\": -0.4539420937, \"1402876800000\": -0.5894070749, \"1255305600000\": -0.4096169553, \"1308096000000\": -0.4449298276, \"1282003200000\": -0.4488318335, \"1361145600000\": -0.487199997, \"1298505600000\": -0.4022531602, \"1240444800000\": -0.5141581183, \"1348185600000\": -0.5880583259, \"1246579200000\": -0.3767393243, \"1429833600000\": -0.1190720607, \"1348704000000\": -0.5781937253, \"1213056000000\": -0.3993271241, \"1419552000000\": -0.3545036978, \"1408492800000\": -0.5567598552, \"1254182400000\": -0.4432120458, \"1324944000000\": -0.5682073627, \"1477526400000\": -0.3732634856, \"1460937600000\": -0.3952259904, \"1216080000000\": -0.4655619413, \"1355961600000\": -0.5532606008, \"1509062400000\": -0.2465798722, \"1498780800000\": -0.3131125194, \"1211414400000\": -0.3047498445, \"1208736000000\": -0.3879020958, \"1286841600000\": -0.4056643713, \"1375660800000\": -0.5732089737, \"1206316800000\": -0.2774657755, \"1321833600000\": -0.5111365459, \"1483660800000\": -0.3728940782, \"1354060800000\": -0.6011524311, \"1510617600000\": -0.2320839297, \"1205366400000\": -0.2134245487, \"1307059200000\": -0.4405782387, \"1202860800000\": -0.0978217703, \"1356912000000\": -0.5273852252, \"1493337600000\": -0.3556439527, \"1339632000000\": -0.5203661104, \"1247788800000\": -0.3406471747, \"1487030400000\": -0.3563837041, \"1204502400000\": -0.1025686176, \"1471478400000\": -0.3697436253, \"1316995200000\": -0.5109061346, \"1272240000000\": -0.4058011195, \"1347321600000\": -0.5669223046, \"1466121600000\": -0.4173484718, \"1345507200000\": -0.566583244, \"1448582400000\": -0.3336820099, \"1445385600000\": -0.3493683359, \"1326326400000\": -0.5438193575, \"1371427200000\": -0.5496976554, \"1474329600000\": -0.3898028953, \"1290384000000\": -0.405812359, \"1320192000000\": -0.4862783518, \"1257897600000\": -0.3451692305, \"1293062400000\": -0.4026896304, \"1375315200000\": -0.5793851203, \"1471910400000\": -0.3739875016, \"1297728000000\": -0.3972459294, \"1209513600000\": -0.2583528777, \"1211241600000\": -0.3048659868, \"1353369600000\": -0.5944611373, \"1229644800000\": -0.6155859191, \"1401408000000\": -0.5960384244, \"1370390400000\": -0.5203436313, \"1253145600000\": -0.3780581011, \"1242345600000\": -0.4762133122, \"1326844800000\": -0.5462602186, \"1203984000000\": -0.1541226762, \"1284940800000\": -0.466152019, \"1418601600000\": -0.397328353, \"1326067200000\": -0.5563046524, \"1320710400000\": -0.4890283013, \"1225238400000\": -0.6893718576, \"1360195200000\": -0.4830038889, \"1405036800000\": -0.5976213312, \"1234137600000\": -0.5697734102, \"1251849600000\": -0.4584529099, \"1308182400000\": -0.4534606652, \"1310947200000\": -0.4150550365, \"1369353600000\": -0.513470631, \"1314662400000\": -0.4676674884, \"1340236800000\": -0.5294008557, \"1319068800000\": -0.5278385547, \"1498521600000\": -0.3116293638, \"1384128000000\": -0.5661729995, \"1335312000000\": -0.5080831279, \"1226620800000\": -0.6359033247, \"1338768000000\": -0.5206264939, \"1200528000000\": 0.0051214998, \"1214438400000\": -0.4415972935, \"1427068800000\": -0.255928876, \"1278374400000\": -0.5199015413, \"1303344000000\": -0.3785695018, \"1467763200000\": -0.3974081539, \"1417651200000\": -0.4184737406, \"1280361600000\": -0.4608787849, \"1433721600000\": 0.0028979372, \"1299196800000\": -0.3873176379, \"1510704000000\": -0.2368947301, \"1477008000000\": -0.3766269285, \"1374192000000\": -0.5896655852, \"1507680000000\": -0.2689242977, \"1234224000000\": -0.5641386364, \"1433289600000\": -0.0364705486, \"1429142400000\": -0.1544935822, \"1279584000000\": -0.4864450722, \"1263427200000\": -0.3501558554, \"1400630400000\": -0.5998879789, \"1388707200000\": -0.5708767618, \"1492732800000\": -0.3505798684, \"1267574400000\": -0.3752519538, \"1336953600000\": -0.5100425605, \"1436832000000\": -0.2296865282, \"1432512000000\": -0.0447297631, \"1283817600000\": -0.4411851757, \"1416355200000\": -0.5247120795, \"1415750400000\": -0.5140157504, \"1254268800000\": -0.437120196, \"1274313600000\": -0.4893448826, \"1318550400000\": -0.5028773313, \"1450828800000\": -0.2757253273, \"1209340800000\": -0.3014322965, \"1284595200000\": -0.464660902, \"1301270400000\": -0.3835898454, \"1502236800000\": -0.3010775006, \"1337558400000\": -0.5153438935, \"1389571200000\": -0.5890661412, \"1427673600000\": -0.2341765512, \"1215475200000\": -0.4564091805, \"1409011200000\": -0.5646369243, \"1369180800000\": -0.5095742449, \"1512950400000\": -0.2376758619, \"1253836800000\": -0.4270570296, \"1431561600000\": -0.1194204875, \"1320969600000\": -0.495155743, \"1303689600000\": -0.3912702219, \"1422316800000\": -0.3303217516, \"1385683200000\": -0.5431225039, \"1213142400000\": -0.4117393617, \"1326240000000\": -0.5437463003, \"1482883200000\": -0.3814694995, \"1353542400000\": -0.5920877136, \"1375747200000\": -0.5703410087, \"1322092800000\": -0.5150273122, \"1419292800000\": -0.3771551886, \"1392163200000\": -0.5707887185, \"1442966400000\": -0.3887491851, \"1480464000000\": -0.3372395228, \"1477612800000\": -0.3743067055, \"1422489600000\": -0.3477674457, \"1414454400000\": -0.5472980061, \"1445299200000\": -0.3298022959, \"1463443200000\": -0.4219064942, \"1252281600000\": -0.4184999663, \"1355788800000\": -0.5563889492, \"1333065600000\": -0.5401327768, \"1201046400000\": -0.068031276, \"1501804800000\": -0.3054729988, \"1405296000000\": -0.5931723327, \"1392854400000\": -0.5715024315, \"1488844800000\": -0.3529831706, \"1380153600000\": -0.5533317848, \"1416960000000\": -0.4899068614, \"1271894400000\": -0.4002675019, \"1216771200000\": -0.4598784627, \"1285027200000\": -0.4647189732, \"1208995200000\": -0.2929370509, \"1366156800000\": -0.5394640221, \"1281052800000\": -0.4571922042, \"1332892800000\": -0.5363862518, \"1444694400000\": -0.3546529968, \"1507852800000\": -0.2654934361, \"1398297600000\": -0.5896674584, \"1479340800000\": -0.3562467686, \"1508198400000\": -0.2669794765, \"1239235200000\": -0.5283743078, \"1490572800000\": -0.3484720734, \"1215561600000\": -0.4351869891, \"1294185600000\": -0.4051155054, \"1225152000000\": -0.6804551279, \"1332374400000\": -0.5159957889, \"1412726400000\": -0.5357343564, \"1383868800000\": -0.56766037, \"1450310400000\": -0.2964235671, \"1274227200000\": -0.4825730385, \"1481155200000\": -0.3499511078, \"1378771200000\": -0.536388125, \"1409529600000\": -0.5587867253, \"1418774400000\": -0.3704713878, \"1233619200000\": -0.6049457878, \"1471996800000\": -0.3762292349, \"1201132800000\": -0.0582715781, \"1441756800000\": -0.3632209251, \"1224028800000\": -0.6413901107, \"1361750400000\": -0.512022599, \"1436400000000\": -0.2698723184, \"1502668800000\": -0.3078888518, \"1509494400000\": -0.2513277498, \"1308614400000\": -0.4550548117, \"1217376000000\": -0.4596798969, \"1349654400000\": -0.5747600351, \"1306454400000\": -0.4448942356, \"1399939200000\": -0.5925934945, \"1390780800000\": -0.5849000052, \"1218672000000\": -0.5422664229, \"1438905600000\": -0.2681266251, \"1485216000000\": -0.3697499944, \"1382659200000\": -0.5563065257, \"1211932800000\": -0.311345602, \"1470700800000\": -0.389881947, \"1409616000000\": -0.5529533857, \"1417046400000\": -0.4840117041, \"1441670400000\": -0.3754499577, \"1339372800000\": -0.5207707351, \"1491955200000\": -0.3425899915, \"1503964800000\": -0.2816904321, \"1433462400000\": -0.0201806574, \"1475107200000\": -0.3922411338, \"1362441600000\": -0.5086788254, \"1276732800000\": -0.4862146609, \"1252886400000\": -0.3830615854, \"1256169600000\": -0.3729590805, \"1337644800000\": -0.5077946455, \"1369094400000\": -0.5101699424, \"1454025600000\": -0.4481199937, \"1509408000000\": -0.2494365414, \"1508371200000\": -0.2635737541, \"1307491200000\": -0.4364008632, \"1496620800000\": -0.3502113415, \"1464912000000\": -0.4025555048, \"1343952000000\": -0.5590827008, \"1340755200000\": -0.541575189, \"1268006400000\": -0.3844122077, \"1509321600000\": -0.248873832, \"1229990400000\": -0.6405284099, \"1328227200000\": -0.5305435459, \"1439337600000\": -0.2476741572, \"1345680000000\": -0.568737496, \"1318982400000\": -0.5161212975, \"1388102400000\": -0.5684977184, \"1457568000000\": -0.4355586444, \"1337731200000\": -0.5097915433, \"1352764800000\": -0.5855519006, \"1385596800000\": -0.5430119814, \"1455580800000\": -0.4310836075, \"1429574400000\": -0.1347100564, \"1462233600000\": -0.3980195868, \"1499644800000\": -0.3155685352, \"1436227200000\": -0.2641819088, \"1381795200000\": -0.5377687195, \"1267142400000\": -0.3852570491, \"1432771200000\": -0.0944630106, \"1289260800000\": -0.3398716441, \"1440028800000\": -0.2953809092, \"1328745600000\": -0.5262088163, \"1395792000000\": -0.5933053343, \"1259539200000\": -0.3421720105, \"1456790400000\": -0.4510040687, \"1507593600000\": -0.271326401, \"1414540800000\": -0.5407921653, \"1472601600000\": -0.3766168129, \"1337904000000\": -0.5179908135, \"1427846400000\": -0.2274852574, \"1460332800000\": -0.3949182134, \"1480982400000\": -0.3520098234, \"1468540800000\": -0.3862671123, \"1457308800000\": -0.4183819507, \"1459987200000\": -0.3988157234, \"1242172800000\": -0.4728620455, \"1199664000000\": 0.0408951947, \"1414713600000\": -0.5301239351, \"1383177600000\": -0.5553399222, \"1346976000000\": -0.5659313487, \"1392076800000\": -0.5718546049, \"1226880000000\": -0.6277396465, \"1332460800000\": -0.5217673108, \"1338163200000\": -0.5101999146, \"1404086400000\": -0.594416179, \"1245110400000\": -0.4452857475, \"1388016000000\": -0.575644215, \"1404259200000\": -0.593339053, \"1441929600000\": -0.3729838075, \"1213574400000\": -0.4469679372, \"1390867200000\": -0.5841619398, \"1459382400000\": -0.397167627, \"1424822400000\": -0.3483425373, \"1212019200000\": -0.3292090336, \"1492387200000\": -0.3481155541, \"1339977600000\": -0.5164715976, \"1318204800000\": -0.5209917801, \"1283212800000\": -0.45615629, \"1278547200000\": -0.5174625535, \"1389657600000\": -0.5854750968, \"1256860800000\": -0.3855005732, \"1500854400000\": -0.2987500468, \"1493769600000\": -0.3606314768, \"1282089600000\": -0.4497553519, \"1239926400000\": -0.5034561694, \"1343174400000\": -0.5578950523, \"1463356800000\": -0.4201673573, \"1212710400000\": -0.3463250335, \"1288656000000\": -0.3512648269, \"1490054400000\": -0.3506622358, \"1451260800000\": -0.3017166578, \"1231718400000\": -0.6402043355, \"1300406400000\": -0.3976168354, \"1323043200000\": -0.5276774542, \"1468454400000\": -0.3861760717, \"1268611200000\": -0.4037068119, \"1426550400000\": -0.2961927812, \"1514419200000\": -0.2471550012, \"1309219200000\": -0.4302041107, \"1449792000000\": -0.3241158201, \"1271203200000\": -0.3623957529, \"1247097600000\": -0.3637838405, \"1290988800000\": -0.4024198806, \"1331078400000\": -0.5123897585, \"1282262400000\": -0.4570666956, \"1276128000000\": -0.4848490525, \"1469404800000\": -0.3947704129, \"1364256000000\": -0.5176255273, \"1342742400000\": -0.5507054707, \"1335225600000\": -0.5120394584, \"1433894400000\": -0.0054643069, \"1291680000000\": -0.4004922934, \"1450742400000\": -0.2737861259, \"1407283200000\": -0.5573068479, \"1218758400000\": -0.541496512, \"1341446400000\": -0.5447278899, \"1473292800000\": -0.3744119829, \"1502064000000\": -0.3018734873, \"1376265600000\": -0.5592606607, \"1225065600000\": -0.6900368658, \"1236902400000\": -0.5868669309, \"1480032000000\": -0.3403684333, \"1499817600000\": -0.3146062777, \"1202083200000\": -0.0727125591, \"1236556800000\": -0.5874083038, \"1311724800000\": -0.438011869, \"1279756800000\": -0.4789913605, \"1309737600000\": -0.4151711787, \"1375920000000\": -0.5734993294, \"1488499200000\": -0.3578712619, \"1452816000000\": -0.4157799891, \"1380240000000\": -0.5513592393, \"1367539200000\": -0.5330125059, \"1242950400000\": -0.4865986797, \"1244678400000\": -0.4452089437, \"1451347200000\": -0.2953020449, \"1372118400000\": -0.5943599811, \"1297209600000\": -0.4303502252, \"1261958400000\": -0.3483987352, \"1498435200000\": -0.3128700817, \"1300924800000\": -0.3909349079, \"1462492800000\": -0.4136025087, \"1276041600000\": -0.4788340065, \"1323216000000\": -0.5263961426, \"1439251200000\": -0.2382061263, \"1491868800000\": -0.3411121185, \"1364860800000\": -0.5342338731, \"1283731200000\": -0.4426875323, \"1368662400000\": -0.5218103959, \"1350518400000\": -0.5623908825, \"1255046400000\": -0.4073540541, \"1245024000000\": -0.444354736, \"1478563200000\": -0.3685010902, \"1227484800000\": -0.6557617809, \"1266883200000\": -0.4008126213, \"1332720000000\": -0.5212989952, \"1406160000000\": -0.5809492945, \"1504137600000\": -0.2840216699, \"1331769600000\": -0.5156586016, \"1246492800000\": -0.385127794, \"1214784000000\": -0.477018815, \"1341187200000\": -0.5381958234, \"1402272000000\": -0.6001933207, \"1237161600000\": -0.5800875938, \"1472774400000\": -0.3791794361, \"1223424000000\": -0.6210614655, \"1250553600000\": -0.4058029927, \"1459296000000\": -0.3975072495, \"1237248000000\": -0.5649535056, \"1423785600000\": -0.350009741, \"1345420800000\": -0.5688142997, \"1241740800000\": -0.4775058633, \"1464048000000\": -0.4261155278, \"1411689600000\": -0.5434484516, \"1425600000000\": -0.3483818758, \"1227571200000\": -0.6563893239, \"1320883200000\": -0.4942959155, \"1495756800000\": -0.3480232397, \"1216944000000\": -0.4494106716, \"1312848000000\": -0.4758255468, \"1470096000000\": -0.4026066448, \"1400544000000\": -0.6036607297, \"1489449600000\": -0.352470646, \"1203465600000\": -0.0804678661, \"1247702400000\": -0.3441258233, \"1378166400000\": -0.5589403328, \"1315958400000\": -0.4880167395, \"1478131200000\": -0.3696312295, \"1466467200000\": -0.4181050825, \"1323734400000\": -0.5463089235, \"1275004800000\": -0.4660639757, \"1288569600000\": -0.3494159167, \"1352073600000\": -0.5687974404, \"1342051200000\": -0.541204283, \"1323993600000\": -0.5522658984, \"1272499200000\": -0.4267704204, \"1306972800000\": -0.4463179151, \"1258329600000\": -0.320792465, \"1302566400000\": -0.376808635, \"1255392000000\": -0.4008332272, \"1497916800000\": -0.335648561, \"1289952000000\": -0.4185561642, \"1514332800000\": -0.2523420465, \"1334188800000\": -0.5184891014, \"1369958400000\": -0.5117472294, \"1404432000000\": -0.5918722885, \"1343260800000\": -0.5602534899, \"1506556800000\": -0.2839381599, \"1350950400000\": -0.5668867126, \"1450396800000\": -0.2941709689, \"1374105600000\": -0.5793907401, \"1200441600000\": 0.0313659081, \"1263513600000\": -0.347591359, \"1425945600000\": -0.3404973137, \"1316131200000\": -0.4878518924, \"1502841600000\": -0.3066267225, \"1423180800000\": -0.3794967667, \"1357257600000\": -0.5271117289, \"1369699200000\": -0.5046419446, \"1275868800000\": -0.4950208681, \"1454284800000\": -0.4565575429, \"1247616000000\": -0.3456113205, \"1292371200000\": -0.3916317615, \"1308009600000\": -0.4392276164, \"1274745600000\": -0.4728751583, \"1372636800000\": -0.5853870535, \"1325116800000\": -0.5670215875, \"1222041600000\": -0.5864566864, \"1336435200000\": -0.4925106963, \"1490918400000\": -0.3525919397, \"1269388800000\": -0.3861936804, \"1512518400000\": -0.247731273, \"1427241600000\": -0.2618577519, \"1296086400000\": -0.4330627093, \"1459209600000\": -0.4126553871, \"1434067200000\": -0.000591951, \"1411603200000\": -0.5434915366, \"1288915200000\": -0.3404617218, \"1363737600000\": -0.5110466293, \"1218067200000\": -0.4903901631, \"1462838400000\": -0.4250747432, \"1283472000000\": -0.4529679972, \"1457395200000\": -0.4178512555, \"1413417600000\": -0.5420997025, \"1257379200000\": -0.3510419086, \"1265760000000\": -0.3979090643, \"1428969600000\": -0.168612362, \"1341878400000\": -0.5491600291, \"1250121600000\": -0.3554440756, \"1256515200000\": -0.3604232075, \"1487116800000\": -0.3590233184, \"1433980800000\": -0.005936369, \"1361923200000\": -0.5139483129, \"1359331200000\": -0.5032369977, \"1277769600000\": -0.5144466008, \"1495584000000\": -0.3585636385, \"1487635200000\": -0.3475758109, \"1293667200000\": -0.4260136224, \"1369008000000\": -0.511151532, \"1464307200000\": -0.4263135317, \"1377475200000\": -0.5624770525, \"1397433600000\": -0.5750297849, \"1397001600000\": -0.5806476993, \"1407369600000\": -0.5640056348, \"1336608000000\": -0.5022348022, \"1383696000000\": -0.5591145463, \"1341360000000\": -0.5382557678, \"1211328000000\": -0.2913354114, \"1346716800000\": -0.5870561304, \"1363651200000\": -0.5269824738, \"1473638400000\": -0.3888286115, \"1390176000000\": -0.5942532052, \"1297900800000\": -0.391955836, \"1214956800000\": -0.4942940423, \"1508803200000\": -0.2583013068, \"1220400000000\": -0.5792727245, \"1465344000000\": -0.4073023521, \"1499040000000\": -0.3161006354, \"1407110400000\": -0.5549840023, \"1465948800000\": -0.4162224537, \"1225929600000\": -0.6909528912, \"1512432000000\": -0.2431700098, \"1215734400000\": -0.4467319062, \"1238716800000\": -0.5184778618, \"1491523200000\": -0.3410867545, \"1428537600000\": -0.2015892759, \"1415577600000\": -0.519371408, \"1506470400000\": -0.2841889148, \"1292198400000\": -0.3891178432, \"1389312000000\": -0.5869737069, \"1408406400000\": -0.5551432297, \"1214524800000\": -0.4724855197, \"1438646400000\": -0.2604069101, \"1250812800000\": -0.3998778633, \"1391040000000\": -0.5874232899, \"1200873600000\": -0.0360696704, \"1377129600000\": -0.5684134216, \"1323648000000\": -0.5358636115, \"1409184000000\": -0.5670365736, \"1208304000000\": -0.3454783189, \"1212105600000\": -0.3235030759, \"1305504000000\": -0.4192024397, \"1289865600000\": -0.406261942, \"1450051200000\": -0.304771949, \"1257984000000\": -0.3443599811, \"1423699200000\": -0.3550600568, \"1342656000000\": -0.5458612137, \"1200268800000\": 0.0737091348, \"1255478400000\": -0.3954232449, \"1245715200000\": -0.4223045625, \"1324339200000\": -0.5547123793, \"1217808000000\": -0.4805161962, \"1406073600000\": -0.5882887372, \"1386288000000\": -0.5406216984, \"1512604800000\": -0.2561167829, \"1298332800000\": -0.4073784065, \"1445558400000\": -0.3310127981, \"1266796800000\": -0.3943086537, \"1367798400000\": -0.5268176267, \"1439769600000\": -0.2361075103, \"1321920000000\": -0.5111758844, \"1224460800000\": -0.6446926725, \"1441152000000\": -0.3694912968, \"1487289600000\": -0.3590740838, \"1376352000000\": -0.5580842519, \"1446508800000\": -0.3508221749, \"1230508800000\": -0.6525547555, \"1355184000000\": -0.5769236533, \"1258934400000\": -0.3133537394, \"1415923200000\": -0.5164940767, \"1315353600000\": -0.4794034783, \"1205884800000\": -0.2715144204, \"1326931200000\": -0.5376132387, \"1458086400000\": -0.4211556906, \"1320796800000\": -0.4845437107, \"1255910400000\": -0.3763609252, \"1213228800000\": -0.4221678144, \"1207526400000\": -0.2795769424, \"1300320000000\": -0.4010992305, \"1397606400000\": -0.5817885162, \"1507766400000\": -0.2670010565, \"1500422400000\": -0.3013205377, \"1447977600000\": -0.2929589681, \"1406592000000\": -0.5632731891, \"1344211200000\": -0.5531126131, \"1314835200000\": -0.4690162374, \"1369612800000\": -0.513028541, \"1322611200000\": -0.5276531017, \"1220313600000\": -0.5718827038, \"1230249600000\": -0.6511797808, \"1332115200000\": -0.5073300764, \"1466640000000\": -0.4160446811, \"1309132800000\": -0.4311857003, \"1501545600000\": -0.2937083105, \"1456963200000\": -0.4270772608, \"1439510400000\": -0.2369190076, \"1272326400000\": -0.417713196, \"1211155200000\": -0.2667919255, \"1498089600000\": -0.3274345857, \"1291939200000\": -0.4076781285, \"1484697600000\": -0.3744492608, \"1226275200000\": -0.6624999063, \"1442793600000\": -0.3802784792, \"1398643200000\": -0.6000640656, \"1348444800000\": -0.5849749357, \"1281312000000\": -0.4533370299, \"1375833600000\": -0.5727799966, \"1299110400000\": -0.3964872581, \"1300752000000\": -0.3962549735, \"1346889600000\": -0.5845440854, \"1490745600000\": -0.3508783166, \"1208908800000\": -0.3530256937, \"1362960000000\": -0.5143810366, \"1283904000000\": -0.4415860539, \"1287705600000\": -0.3670882756, \"1393891200000\": -0.5908288812, \"1310428800000\": -0.4273604981, \"1289520000000\": -0.3833538143, \"1231286400000\": -0.6382392831, \"1216684800000\": -0.4558659343, \"1269216000000\": -0.3813306908, \"1284336000000\": -0.4450796886, \"1489622400000\": -0.3478223323, \"1301529600000\": -0.3961931558, \"1497225600000\": -0.3304230201, \"1280707200000\": -0.4535168631, \"1379462400000\": -0.5443270117, \"1400716800000\": -0.6008321032, \"1470614400000\": -0.394152611, \"1277164800000\": -0.4785361577, \"1329091200000\": -0.5256936691, \"1348099200000\": -0.5886409106, \"1466985600000\": -0.4154401792, \"1214179200000\": -0.4773709884, \"1421625600000\": -0.3714904426, \"1479168000000\": -0.3574952981, \"1410393600000\": -0.5460241876, \"1215043200000\": -0.4828652675, \"1337126400000\": -0.5177004578, \"1212364800000\": -0.3207868452, \"1284422400000\": -0.444575781, \"1273795200000\": -0.4627445544, \"1264118400000\": -0.3694223608, \"1339545600000\": -0.5165783736, \"1412899200000\": -0.5379054677, \"1362009600000\": -0.499215103, \"1232668800000\": -0.6192256682, \"1409788800000\": -0.5455052938, \"1505952000000\": -0.281076002, \"1492992000000\": -0.3572351581, \"1484784000000\": -0.3763367602, \"1398038400000\": -0.590270649, \"1500249600000\": -0.3137194939, \"1440460800000\": -0.4299798812, \"1207785600000\": -0.2966423642, \"1321315200000\": -0.4858493747, \"1226361600000\": -0.6663045026, \"1477440000000\": -0.3715578801, \"1321401600000\": -0.4998164203, \"1387756800000\": -0.5720344381, \"1377043200000\": -0.5675404812, \"1295827200000\": -0.446595158, \"1342137600000\": -0.54093266, \"1248998400000\": -0.3004076219, \"1505433600000\": -0.2822975752, \"1483401600000\": -0.3739131331, \"1241654400000\": -0.4816532666, \"1429488000000\": -0.1529256614, \"1511827200000\": -0.2402377732, \"1379980800000\": -0.5421952389, \"1378425600000\": -0.5583259027, \"1469664000000\": -0.3965964693, \"1478476800000\": -0.3712221914, \"1312156800000\": -0.4421948643, \"1434672000000\": -0.1313584151, \"1406678400000\": -0.5650265629, \"1262736000000\": -0.3365409832, \"1437696000000\": -0.2176732955, \"1339027200000\": -0.5237829413, \"1407888000000\": -0.5581160973, \"1401062400000\": -0.596128341, \"1385078400000\": -0.5507991338, \"1422403200000\": -0.3396150071, \"1471219200000\": -0.3643225908, \"1219276800000\": -0.5421783796, \"1206576000000\": -0.2977288565, \"1215388800000\": -0.4599833654, \"1325635200000\": -0.5693837716, \"1351209600000\": -0.5789074384, \"1499731200000\": -0.3123611725, \"1513296000000\": -0.2542811917, \"1380499200000\": -0.5487235589, \"1426464000000\": -0.305830717, \"1319414400000\": -0.5173220588, \"1309478400000\": -0.4287017541, \"1262131200000\": -0.3333320845, \"1305849600000\": -0.4152423627, \"1373846400000\": -0.5677821321, \"1233792000000\": -0.5970668455, \"1381449600000\": -0.5375832665, \"1514246400000\": -0.240650097, \"1279497600000\": -0.497502941, \"1305072000000\": -0.410842069, \"1382486400000\": -0.5469533258, \"1281398400000\": -0.4693721573, \"1311552000000\": -0.4439613508, \"1281916800000\": -0.4526176971, \"1216166400000\": -0.4856770346, \"1303948800000\": -0.4077155938, \"1482969600000\": -0.382242033, \"1423526400000\": -0.3617906891, \"1325203200000\": -0.5605813108, \"1309305600000\": -0.4379893898, \"1447891200000\": -0.2928491949, \"1339113600000\": -0.527126715, \"1375401600000\": -0.5790292004, \"1286928000000\": -0.3972627888, \"1218153600000\": -0.5145515035, \"1239840000000\": -0.4966337472, \"1451865600000\": -0.3501528582, \"1400457600000\": -0.6037787452, \"1511308800000\": -0.2080657815, \"1461110400000\": -0.4041103127, \"1395273600000\": -0.6090557258, \"1480291200000\": -0.3377865155, \"1473724800000\": -0.3892540294, \"1216598400000\": -0.4546839057, \"1303862400000\": -0.3987763849, \"1223942400000\": -0.6375948807, \"1284508800000\": -0.4542830275, \"1497398400000\": -0.3377457346, \"1510099200000\": -0.2417022524, \"1474848000000\": -0.3967562586, \"1401321600000\": -0.5962819485, \"1444608000000\": -0.3541565823, \"1277856000000\": -0.5198696959, \"1336348800000\": -0.490888451, \"1377820800000\": -0.5665439055, \"1494806400000\": -0.3632417745, \"1235433600000\": -0.5688030602, \"1437609600000\": -0.203712619, \"1303257600000\": -0.3826176222, \"1384819200000\": -0.548139101, \"1487548800000\": -0.34971695, \"1277683200000\": -0.4910757772, \"1210032000000\": -0.2486549975, \"1355875200000\": -0.5558288437, \"1265587200000\": -0.4097368441, \"1314144000000\": -0.4736094772, \"1410307200000\": -0.5443419978, \"1390435200000\": -0.581908405, \"1444780800000\": -0.3619457953, \"1454371200000\": -0.4452643923, \"1248912000000\": -0.3191027822, \"1304380800000\": -0.3984710431, \"1359504000000\": -0.4963340252, \"1469750400000\": -0.3998197921, \"1460073600000\": -0.4032298793, \"1322006400000\": -0.5159470841, \"1443139200000\": -0.3945707232, \"1451520000000\": -0.3010848063, \"1309392000000\": -0.4297620207, \"1429660800000\": -0.1121091438, \"1405641600000\": -0.5945997587, \"1221782400000\": -0.6116520677, \"1478044800000\": -0.3755756536, \"1343779200000\": -0.5581629289, \"1248825600000\": -0.3333976487, \"1418083200000\": -0.4179941854, \"1479254400000\": -0.3575473748, \"1447632000000\": -0.2948803735, \"1372032000000\": -0.5932753621, \"1283299200000\": -0.4597435878, \"1415664000000\": -0.520705171, \"1304640000000\": -0.415279828, \"1331251200000\": -0.5009066591, \"1510790400000\": -0.2310234383, \"1260403200000\": -0.3298890279, \"1401840000000\": -0.6013191515, \"1494892800000\": -0.3577240047, \"1482710400000\": -0.3776270634, \"1318291200000\": -0.5219452708, \"1277424000000\": -0.487421042, \"1256601600000\": -0.3790659164, \"1349740800000\": -0.5653731164, \"1378684800000\": -0.542809669, \"1437350400000\": -0.220608136, \"1235606400000\": -0.5897199098, \"1439942400000\": -0.2720246971, \"1438128000000\": -0.2637368216, \"1463616000000\": -0.4263133444, \"1245369600000\": -0.4230351349, \"1401235200000\": -0.5936237889, \"1236297600000\": -0.5716635321, \"1499904000000\": -0.3093429906, \"1244419200000\": -0.447672284, \"1314748800000\": -0.4667233641, \"1238371200000\": -0.534589793, \"1512086400000\": -0.2510440629, \"1469145600000\": -0.3958424811, \"1269820800000\": -0.3708572799, \"1467936000000\": -0.402002143, \"1422576000000\": -0.3566485834, \"1334793600000\": -0.5136898027, \"1449446400000\": -0.3092143912, \"1467072000000\": -0.4124697468, \"1359936000000\": -0.4852218318, \"1278460800000\": -0.5166083458, \"1222214400000\": -0.5993372397, \"1370304000000\": -0.5193826476, \"1465171200000\": -0.4045295488, \"1482364800000\": -0.3751410567, \"1299456000000\": -0.3753587298, \"1273449600000\": -0.4645784785, \"1256256000000\": -0.3606086605, \"1476748800000\": -0.3778273152, \"1416787200000\": -0.5037240459, \"1315180800000\": -0.4860104753, \"1279670400000\": -0.4853510869, \"1498176000000\": -0.3213388769, \"1294876800000\": -0.411555782, \"1396915200000\": -0.5808912234, \"1309910400000\": -0.4167203669, \"1355702400000\": -0.5566549525, \"1436486400000\": -0.230734244, \"1363132800000\": -0.526534764, \"1225411200000\": -0.6883528028, \"1439424000000\": -0.2365587792, \"1290556800000\": -0.4048569951, \"1376611200000\": -0.568374083, \"1339459200000\": -0.5241575938, \"1466380800000\": -0.4169144369, \"1378339200000\": -0.5613306159, \"1361232000000\": -0.4969147366, \"1261353600000\": -0.3637238961, \"1442880000000\": -0.3745120151, \"1229558400000\": -0.6168990761, \"1199404800000\": 0.0272316177, \"1425513600000\": -0.3450437219, \"1416268800000\": -0.5239253093, \"1252540800000\": -0.4075039151, \"1386201600000\": -0.5376413377, \"1323907200000\": -0.5615085758, \"1374451200000\": -0.5874719947, \"1345766400000\": -0.5737053883, \"1279065600000\": -0.5029091767, \"1409702400000\": -0.5487610242, \"1305158400000\": -0.4189888878, \"1245801600000\": -0.4154053366, \"1344297600000\": -0.5525019295, \"1338940800000\": -0.5209318357, \"1322697600000\": -0.5160220146, \"1343088000000\": -0.5549146916, \"1503014400000\": -0.302270619, \"1392768000000\": -0.5675273684, \"1479427200000\": -0.3598209536, \"1508284800000\": -0.2611547914, \"1433203200000\": -0.0330462246, \"1469059200000\": -0.3907170474, \"1203552000000\": -0.0865915613, \"1425254400000\": -0.325387578, \"1460678400000\": -0.3870300921, \"1286496000000\": -0.4297357951, \"1251158400000\": -0.4174471927, \"1232323200000\": -0.6230115318, \"1235692800000\": -0.5990300247, \"1337040000000\": -0.5096978802, \"1348617600000\": -0.5907127389, \"1236124800000\": -0.5719314086, \"1321488000000\": -0.5013337629, \"1288137600000\": -0.3623657807, \"1270080000000\": -0.364600583, \"1462406400000\": -0.3979484029, \"1373414400000\": -0.5833732963, \"1371686400000\": -0.565127719, \"1486944000000\": -0.3562954734, \"1212451200000\": -0.3229823089, \"1237852800000\": -0.5407172348, \"1342569600000\": -0.5477307297, \"1358121600000\": -0.517123493, \"1274054400000\": -0.4914616693, \"1219881600000\": -0.562430221, \"1287532800000\": -0.3636751913, \"1397779200000\": -0.5832964925, \"1336003200000\": -0.4958076384, \"1237334400000\": -0.5630334115, \"1261612800000\": -0.3558187281, \"1322524800000\": -0.5113463513, \"1405555200000\": -0.5959241553, \"1396483200000\": -0.5944367849, \"1350345600000\": -0.569494294, \"1479945600000\": -0.3464674015, \"1328486400000\": -0.5308751133, \"1456444800000\": -0.4477563934, \"1488412800000\": -0.3565163311, \"1425340800000\": -0.3428782304, \"1346112000000\": -0.5806870378, \"1394496000000\": -0.6049926193, \"1256774400000\": -0.391742284, \"1349913600000\": -0.5686756783, \"1340582400000\": -0.5398293083, \"1231113600000\": -0.6472721551, \"1271376000000\": -0.3712712709, \"1467158400000\": -0.4096619136, \"1480377600000\": -0.3323617345, \"1287014400000\": -0.3960339285, \"1331510400000\": -0.502761189, \"1395014400000\": -0.5985523427, \"1226966400000\": -0.6553534097, \"1302739200000\": -0.3717901646, \"1242864000000\": -0.4848509258, \"1254096000000\": -0.4431464816, \"1475193600000\": -0.3905743048, \"1269302400000\": -0.3863997392, \"1372377600000\": -0.5877623504, \"1404172800000\": -0.5945210817, \"1408579200000\": -0.5589890377, \"1377734400000\": -0.56571967, \"1499990400000\": -0.3063132694, \"1425427200000\": -0.3385847127, \"1261440000000\": -0.3807855714, \"1354665600000\": -0.5864061083, \"1483574400000\": -0.3691246993, \"1225843200000\": -0.6831526259, \"1316563200000\": -0.4809170744, \"1343692800000\": -0.5629828334, \"1389139200000\": -0.5800313959, \"1372982400000\": -0.5828525293, \"1383091200000\": -0.5490176611, \"1327881600000\": -0.539042538, \"1460505600000\": -0.3890573368, \"1358899200000\": -0.5115542834, \"1478649600000\": -0.3718847644, \"1338508800000\": -0.5067699709, \"1211760000000\": -0.333264647, \"1235952000000\": -0.5945004758, \"1436140800000\": -0.2509690387, \"1244592000000\": -0.4399694284, \"1280188800000\": -0.4762882427, \"1275609600000\": -0.4859036993, \"1286755200000\": -0.413125576, \"1410739200000\": -0.5434503248, \"1419206400000\": -0.3641247743, \"1226016000000\": -0.6856983897, \"1432166400000\": -0.0931573466, \"1436313600000\": -0.3138168099, \"1302652800000\": -0.3683302487, \"1421107200000\": -0.3417280472, \"1340841600000\": -0.5455970837, \"1480896000000\": -0.35008898, \"1440633600000\": -0.3994998389, \"1218499200000\": -0.5421446608, \"1285632000000\": -0.460329919, \"1504224000000\": -0.282439606, \"1505779200000\": -0.2821440427, \"1472083200000\": -0.3801426677, \"1463011200000\": -0.4211362087, \"1316476800000\": -0.4961204733, \"1220918400000\": -0.5992810418, \"1489536000000\": -0.3511685412, \"1317168000000\": -0.5109679522, \"1446076800000\": -0.3381188323, \"1240358400000\": -0.517395116, \"1361491200000\": -0.5135886465, \"1339718400000\": -0.5189368111, \"1417996800000\": -0.390650172, \"1434585600000\": -0.0763787212, \"1302220800000\": -0.3718276299, \"1206403200000\": -0.2683467334, \"1268956800000\": -0.3829716688, \"1338854400000\": -0.5206620859, \"1217894400000\": -0.4936421469, \"1481241600000\": -0.3455382633, \"1368748800000\": -0.514440981, \"1252972800000\": -0.3813288175, \"1249516800000\": -0.3138014492, \"1351123200000\": -0.5707905917, \"1432684800000\": -0.0293821231, \"1302480000000\": -0.3755610421, \"1466726400000\": -0.4235680781, \"1331164800000\": -0.5062473306, \"1421798400000\": -0.3351997273, \"1248307200000\": -0.3158901369, \"1395619200000\": -0.5922750399, \"1283385600000\": -0.4527469522, \"1308700800000\": -0.4551466015, \"1387238400000\": -0.5585881595, \"1361404800000\": -0.5109754453, \"1248048000000\": -0.3272889395, \"1235347200000\": -0.5484538091, \"1265241600000\": -0.3970342507, \"1281657600000\": -0.4650805128, \"1305244800000\": -0.4140266153, \"1490313600000\": -0.3463063571, \"1280275200000\": -0.4635500573, \"1368576000000\": -0.5303861918, \"1358380800000\": -0.5218010295, \"1392336000000\": -0.5699775958, \"1303084800000\": -0.3706886862, \"1249344000000\": -0.2906666567, \"1346284800000\": -0.5857523397, \"1219968000000\": -0.5519830357, \"1249948800000\": -0.3337966536, \"1390521600000\": -0.5793251759, \"1317254400000\": -0.5151640603, \"1353888000000\": -0.5924529998, \"1269993600000\": -0.3732794083, \"1295308800000\": -0.4422079771, \"1306368000000\": -0.4420712289, \"1268179200000\": -0.3856279551, \"1452729600000\": -0.3965151697, \"1443571200000\": -0.4000037465, \"1232496000000\": -0.6212806372, \"1419465600000\": -0.3751882629, \"1316044800000\": -0.4887772841, \"1278633600000\": -0.5041286707, \"1231977600000\": -0.6338015241, \"1489104000000\": -0.3578658294, \"1386806400000\": -0.5485418524, \"1392681600000\": -0.5724390628, \"1358208000000\": -0.513727268, \"1308268800000\": -0.4582224986, \"1242259200000\": -0.4768727006, \"1412812800000\": -0.5350637284, \"1264723200000\": -0.3997767071, \"1350259200000\": -0.5701124707, \"1427414400000\": -0.2559963134, \"1356652800000\": -0.5354215215, \"1277078400000\": -0.4791093761, \"1393459200000\": -0.5964786411, \"1353628800000\": -0.5892534674, \"1445904000000\": -0.3269594326, \"1504569600000\": -0.2774739429, \"1367971200000\": -0.523666799, \"1426032000000\": -0.3397405157, \"1459900800000\": -0.3897794795, \"1488931200000\": -0.3539621376, \"1483056000000\": -0.3799349229, \"1448409600000\": -0.2916057232, \"1447372800000\": -0.2982305162, \"1425859200000\": -0.3372865417, \"1347408000000\": -0.5653899758, \"1508976000000\": -0.2518985141, \"1495411200000\": -0.3609854298, \"1405987200000\": -0.5892497209, \"1228176000000\": -0.6499565403, \"1298851200000\": -0.3931453577, \"1373241600000\": -0.5946971684, \"1440979200000\": -0.3693594191, \"1204761600000\": -0.122370876, \"1349827200000\": -0.5646313045, \"1252022400000\": -0.423570888, \"1463097600000\": -0.4239839424, \"1386028800000\": -0.5424031711, \"1243209600000\": -0.4843432716, \"1508457600000\": -0.2643975213, \"1260489600000\": -0.3303048922, \"1242777600000\": -0.4730755974, \"1427328000000\": -0.2600612932, \"1230681600000\": -0.6594933199, \"1397692800000\": -0.5832365481, \"1432857600000\": -0.0931854455, \"1304985600000\": -0.4093191065, \"1394668800000\": -0.5990599969, \"1432598400000\": -0.0261057869, \"1348531200000\": -0.5859808777, \"1269907200000\": -0.3693268244, \"1497312000000\": -0.3289472639, \"1229385600000\": -0.6263871509, \"1367884800000\": -0.5260758147, \"1434499200000\": -0.0373620342, \"1272585600000\": -0.4254010655, \"1199836800000\": 0.0516046367, \"1229040000000\": -0.6327693564, \"1232582400000\": -0.6170021055, \"1426636800000\": -0.2795319841, \"1351036800000\": -0.5676922155, \"1352419200000\": -0.5802168489, \"1207612800000\": -0.2711023026, \"1453248000000\": -0.4053556576, \"1421020800000\": -0.3418142173, \"1209081600000\": -0.2875851398, \"1487808000000\": -0.349355223, \"1455494400000\": -0.4480044134, \"1294704000000\": -0.4146204395, \"1329782400000\": -0.5199858381, \"1310688000000\": -0.4138767543, \"1513814400000\": -0.237985175, \"1384387200000\": -0.5683066456, \"1353456000000\": -0.5888376031, \"1365379200000\": -0.5368733, \"1372723200000\": -0.5837648081, \"1396396800000\": -0.5914920162, \"1290038400000\": -0.4103044426, \"1453939200000\": -0.4654165761, \"1262563200000\": -0.3377586039, \"1389830400000\": -0.5856642964, \"1467331200000\": -0.4091355268, \"1488326400000\": -0.3521437617, \"1421193600000\": -0.3439047783, \"1288828800000\": -0.3480090966, \"1221004800000\": -0.598526117, \"1352937600000\": -0.5890773807, \"1486512000000\": -0.3662213297, \"1354233600000\": -0.5991855054, \"1431388800000\": -0.110683591, \"1214870400000\": -0.4945282001, \"1303171200000\": -0.3826082558, \"1440720000000\": -0.3739020808, \"1324512000000\": -0.5614055464, \"1231804800000\": -0.6485403538, \"1239321600000\": -0.5137890856, \"1481673600000\": -0.3670348876, \"1481760000000\": -0.374249009, \"1501632000000\": -0.2954935859, \"1424995200000\": -0.3307132634, \"1285804800000\": -0.4500906659, \"1512000000000\": -0.2495524214, \"1471824000000\": -0.3749306893, \"1205452800000\": -0.2211217845, \"1438560000000\": -0.2826837483, \"1461542400000\": -0.4076682002, \"1227830400000\": -0.6572079396, \"1473206400000\": -0.3741772631, \"1295568000000\": -0.4411196116, \"1331856000000\": -0.5085458237, \"1387497600000\": -0.5732445657, \"1363219200000\": -0.525264692, \"1508716800000\": -0.2636583132, \"1280966400000\": -0.4659646927, \"1251936000000\": -0.4282877631, \"1365984000000\": -0.5435196355, \"1408060800000\": -0.5577901496, \"1214265600000\": -0.4657605071, \"1505260800000\": -0.2801789902, \"1365465600000\": -0.5336644013, \"1230595200000\": -0.6565485512, \"1463702400000\": -0.4233689503, \"1486080000000\": -0.369742314, \"1330041600000\": -0.5039563305, \"1301443200000\": -0.3900507279, \"1289174400000\": -0.3352596717, \"1389916800000\": -0.591911627, \"1415232000000\": -0.5305472924, \"1430092800000\": -0.0994121702, \"1327968000000\": -0.5383794031, \"1239753600000\": -0.4966562264, \"1340150400000\": -0.5218291285, \"1252627200000\": -0.3934132342, \"1449619200000\": -0.3188933514, \"1293494400000\": -0.4296046667, \"1262822400000\": -0.3497043992, \"1334016000000\": -0.5279771762, \"1246838400000\": -0.3678207213, \"1291075200000\": -0.4123594116, \"1437091200000\": -0.2223158021, \"1263168000000\": -0.3477206141, \"1305676800000\": -0.4119117019, \"1246406400000\": -0.3934563193, \"1279843200000\": -0.476782784, \"1365724800000\": -0.5387821546, \"1276214400000\": -0.4831912151, \"1298246400000\": -0.3897079209, \"1227744000000\": -0.64961186, \"1388448000000\": -0.5635242063, \"1203033600000\": -0.098340664, \"1289779200000\": -0.3790340709, \"1279152000000\": -0.5113557176, \"1478217600000\": -0.371674959, \"1200960000000\": -0.1094753366, \"1326412800000\": -0.5514791281, \"1329177600000\": -0.5275425793, \"1464220800000\": -0.4259928292, \"1497484800000\": -0.3389644979, \"1383523200000\": -0.5540792165, \"1251676800000\": -0.4698161205, \"1248739200000\": -0.2964363053, \"1324857600000\": -0.5624620664, \"1314576000000\": -0.4655937868, \"1357689600000\": -0.5267895277, \"1379894400000\": -0.5368751733, \"1351641600000\": -0.5776130139, \"1296172800000\": -0.4311388687, \"1273708800000\": -0.4592059615, \"1473033600000\": -0.3781367781, \"1247184000000\": -0.3634073147, \"1224115200000\": -0.6588976225, \"1366761600000\": -0.5325123448, \"1344988800000\": -0.5632263576, \"1445817600000\": -0.327637179, \"1438041600000\": -0.2860822212, \"1383264000000\": -0.5532343751, \"1396310400000\": -0.5947908315, \"1358985600000\": -0.5161831152, \"1497571200000\": -0.3408436613, \"1436745600000\": -0.2110170317, \"1347580800000\": -0.5662385637, \"1268265600000\": -0.3861861873, \"1413936000000\": -0.5469252269, \"1476144000000\": -0.3805950606, \"1417132800000\": -0.4738342687, \"1470873600000\": -0.3943067805, \"1407715200000\": -0.556907843, \"1334102400000\": -0.5279303446, \"1428451200000\": -0.1952838742, \"1483488000000\": -0.3690267277, \"1314921600000\": -0.4747652802, \"1233705600000\": -0.5941745281, \"1408320000000\": -0.5551825682, \"1503619200000\": -0.2889555437, \"1394755200000\": -0.6023363331, \"1462924800000\": -0.4225089355, \"1319500800000\": -0.5081880306, \"1250208000000\": -0.3734948335, \"1205280000000\": -0.1926894056, \"1333670400000\": -0.5279696831, \"1513641600000\": -0.2440768562, \"1413158400000\": -0.5401234105, \"1203638400000\": -0.1191469912, \"1235088000000\": -0.5608473141, \"1447804800000\": -0.3039743138, \"1323302400000\": -0.5270012064, \"1510876800000\": -0.2280564526, \"1477872000000\": -0.375027537, \"1423440000000\": -0.3732213372, \"1471564800000\": -0.3696434057, \"1479686400000\": -0.3553895637, \"1251072000000\": -0.3950111272, \"1273104000000\": -0.4573420652, \"1452470400000\": -0.4019702975, \"1206489600000\": -0.2667357276, \"1404345600000\": -0.5915931723, \"1419811200000\": -0.3527016192, \"1376956800000\": -0.5668136553, \"1246924800000\": -0.3742385188, \"1387929600000\": -0.5681923766, \"1414368000000\": -0.5562559476, \"1264464000000\": -0.3925384206, \"1508112000000\": -0.2669087796, \"1376006400000\": -0.571770308, \"1287446400000\": -0.3676483811, \"1506038400000\": -0.2810923369, \"1217203200000\": -0.4453550582, \"1492560000000\": -0.3544969353, \"1446422400000\": -0.3488610564, \"1459468800000\": -0.396454476, \"1218585600000\": -0.5420491244, \"1470960000000\": -0.382903482, \"1228348800000\": -0.6285451494, \"1259020800000\": -0.3353514615, \"1298937600000\": -0.3902736462, \"1295395200000\": -0.4296196528, \"1304899200000\": -0.4137137805, \"1206662400000\": -0.2660257611, \"1458604800000\": -0.3957248402, \"1477958400000\": -0.3707613688, \"1301616000000\": -0.3869317458, \"1449187200000\": -0.3110904636, \"1276819200000\": -0.4949365713, \"1316390400000\": -0.498102385, \"1420588800000\": -0.3174224657, \"1366070400000\": -0.5392542167, \"1495497600000\": -0.3585585619, \"1394064000000\": -0.5928220326, \"1239580800000\": -0.5023640573, \"1282608000000\": -0.4545377912, \"1356566400000\": -0.5420641105, \"1442448000000\": -0.3936251002, \"1456099200000\": -0.415754138, \"1291248000000\": -0.4089744262, \"1217980800000\": -0.4901560053, \"1311811200000\": -0.4415804341, \"1456704000000\": -0.4609748833, \"1238112000000\": -0.5318848018, \"1458172800000\": -0.4147545651, \"1313452800000\": -0.4572071903, \"1345593600000\": -0.5699757225, \"1228089600000\": -0.6507845224, \"1481587200000\": -0.3621473583, \"1306108800000\": -0.433716478, \"1484265600000\": -0.3780933184, \"1508889600000\": -0.2550130379, \"1395100800000\": -0.5994721146, \"1237420800000\": -0.5536839581, \"1325808000000\": -0.5709104805, \"1232064000000\": -0.6271814142, \"1504051200000\": -0.2817348472, \"1416873600000\": -0.4969241029, \"1489017600000\": -0.3580434147, \"1261094400000\": -0.3646380482, \"1501027200000\": -0.3058834681, \"1244764800000\": -0.4555755787, \"1414108800000\": -0.5521572492, \"1261699200000\": -0.3584487887, \"1315267200000\": -0.48985441, \"1399852800000\": -0.591619398, \"1270166400000\": -0.3617138854, \"1273190400000\": -0.4685947534, \"1323820800000\": -0.5508890504, \"1306195200000\": -0.4331095409, \"1493251200000\": -0.3543388133, \"1328140800000\": -0.534261972, \"1308787200000\": -0.4459582487, \"1233532800000\": -0.6146586541, \"1496188800000\": -0.3456910278, \"1278028800000\": -0.5252946642, \"1307404800000\": -0.4372232255, \"1509667200000\": -0.2520628555, \"1338422400000\": -0.5069498041, \"1217548800000\": -0.4678454483, \"1275523200000\": -0.4874603805, \"1418256000000\": -0.4037386574, \"1259712000000\": -0.3261256435, \"1264032000000\": -0.3614853473, \"1399420800000\": -0.5996238489, \"1362528000000\": -0.5035479593, \"1219795200000\": -0.5644121327, \"1394409600000\": -0.6070288557, \"1430697600000\": -0.1031305964, \"1357862400000\": -0.534825824, \"1397174400000\": -0.5746438928, \"1438819200000\": -0.2821935155, \"1509580800000\": -0.2512318013, \"1326672000000\": -0.5605981702, \"1461628800000\": -0.4044596762, \"1493942400000\": -0.366359539, \"1452211200000\": -0.3702909926, \"1435708800000\": -0.2032975041, \"1413504000000\": -0.5425998636, \"1390262400000\": -0.5902406768, \"1324598400000\": -0.5580673925, \"1325721600000\": -0.5735723866, \"1473120000000\": -0.3738383899, \"1393977600000\": -0.5946297309, \"1312934400000\": -0.470968177, \"1290643200000\": -0.3961575639, \"1315440000000\": -0.4837082356, \"1206057600000\": -0.2436084282, \"1296518400000\": -0.4235446623, \"1513555200000\": -0.2534502874, \"1364774400000\": -0.5329600545, \"1376524800000\": -0.5651071132, \"1492041600000\": -0.3416294762, \"1317081600000\": -0.5058558187, \"1459123200000\": -0.4062267247, \"1445990400000\": -0.3396899376, \"1350604800000\": -0.5630671302, \"1360022400000\": -0.4807915658, \"1452124800000\": -0.3828753831, \"1470787200000\": -0.3924370771, \"1259280000000\": -0.3663670695, \"1423612800000\": -0.3566991615, \"1262044800000\": -0.3442194864, \"1367452800000\": -0.541118113, \"1199232000000\": 0.0087706153, \"1319155200000\": -0.5302082319, \"1290470400000\": -0.4179436073, \"1329955200000\": -0.5117790749, \"1320105600000\": -0.4946818076, \"1427155200000\": -0.255743423, \"1416182400000\": -0.519114771, \"1211846400000\": -0.3300838472, \"1219708800000\": -0.5632432169, \"1488758400000\": -0.3543830597, \"1322784000000\": -0.5209486951, \"1396569600000\": -0.5906040897, \"1267401600000\": -0.3772488517, \"1311292800000\": -0.4252849232, \"1271289600000\": -0.3641079149, \"1511481600000\": -0.2311749477, \"1393804800000\": -0.5896861911, \"1377216000000\": -0.5715979679, \"1260144000000\": -0.3127318162, \"1503360000000\": -0.2970960684, \"1201651200000\": -0.1175715774, \"1352160000000\": -0.5706088853, \"1207872000000\": -0.2912080296, \"1435276800000\": -0.1877168301, \"1404777600000\": -0.591540721, \"1429056000000\": -0.1794154672, \"1331596800000\": -0.4977651978, \"1491436800000\": -0.3417267547, \"1503878400000\": -0.2801591711, \"1461715200000\": -0.4069408124, \"1319587200000\": -0.5032763362, \"1393286400000\": -0.5957668013, \"1265673600000\": -0.4063275062, \"1330992000000\": -0.5090085196, \"1352246400000\": -0.5714911919, \"1501113600000\": -0.3046084694, \"1263859200000\": -0.3429569075, \"1318896000000\": -0.5144110088, \"1478736000000\": -0.3648493522, \"1362096000000\": -0.5000561979, \"1397088000000\": -0.5740650547, \"1399248000000\": -0.5960365511, \"1208822400000\": -0.3825202125, \"1384214400000\": -0.5616565635, \"1311206400000\": -0.4269427606, \"1344384000000\": -0.552327716, \"1410998400000\": -0.5487947429, \"1205193600000\": -0.1680503833, \"1230163200000\": -0.6495556621, \"1395360000000\": -0.5956000809, \"1400803200000\": -0.5975464007, \"1256083200000\": -0.3688435226, \"1369267200000\": -0.5161643825, \"1238544000000\": -0.5226514907, \"1476835200000\": -0.3787809931, \"1281484800000\": -0.466080835, \"1474243200000\": -0.3887312018, \"1219104000000\": -0.5600699102, \"1474416000000\": -0.388073312, \"1398729600000\": -0.5956618986, \"1244505600000\": -0.4454093828, \"1310601600000\": -0.4163382213, \"1473811200000\": -0.3933008385, \"1236816000000\": -0.584941217, \"1199318400000\": 0.0156885738, \"1429747200000\": -0.1119068314, \"1327017600000\": -0.5309181984, \"1497830400000\": -0.3343051882, \"1312329600000\": -0.4464752692, \"1467590400000\": -0.3996763002, \"1388966400000\": -0.5806439527, \"1456272000000\": -0.4175005807, \"1458518400000\": -0.3912951363, \"1513123200000\": -0.2413113025, \"1259193600000\": -0.3470237605, \"1407974400000\": -0.5624152349, \"1435104000000\": -0.085824273, \"1392595200000\": -0.5669672629, \"1358294400000\": -0.5172433818, \"1435536000000\": -0.2148128236, \"1280448000000\": -0.4625890736, \"1494201600000\": -0.3708062335, \"1447286400000\": -0.289036169, \"1405382400000\": -0.5925691421, \"1489363200000\": -0.3522074526, \"1305590400000\": -0.4162857699, \"1245628800000\": -0.4225555797, \"1399507200000\": -0.5999647827, \"1387411200000\": -0.5630783698, \"1318809600000\": -0.5004102445, \"1200009600000\": 0.0676004256, \"1490140800000\": -0.3537150168, \"1405468800000\": -0.593339053, \"1334707200000\": -0.5129685966, \"1401148800000\": -0.5977580794, \"1418342400000\": -0.4018241831, \"1501718400000\": -0.3016802416, \"1306886400000\": -0.4372400848, \"1505347200000\": -0.2825487985, \"1358812800000\": -0.5135324487, \"1220486400000\": -0.5783005013, \"1468972800000\": -0.3935115805, \"1302048000000\": -0.3797496572, \"1363564800000\": -0.5312179204, \"1340928000000\": -0.5388758177, \"1476921600000\": -0.3783383412, \"1207094400000\": -0.3353701941, \"1283990400000\": -0.4517972081, \"1504742400000\": -0.2825645526, \"1311120000000\": -0.4208677701, \"1361836800000\": -0.5190211079, \"1207699200000\": -0.3091164195, \"1309996800000\": -0.4189739017, \"1477353600000\": -0.3691872663, \"1482451200000\": -0.3803998666, \"1292284800000\": -0.3875424294, \"1386892800000\": -0.5491731419, \"1366329600000\": -0.5253471156, \"1260921600000\": -0.3329836577, \"1431302400000\": -0.1213405816, \"1292976000000\": -0.3976617937, \"1409270400000\": -0.5619768914, \"1464134400000\": -0.4269266505, \"1362614400000\": -0.5093026218, \"1464825600000\": -0.4067190181, \"1444953600000\": -0.337976839, \"1355443200000\": -0.5586836959, \"1329696000000\": -0.5240583109, \"1496966400000\": -0.3300894108, \"1368403200000\": -0.5259203339, \"1470355200000\": -0.3995987472, \"1496361600000\": -0.3468856261, \"1410912000000\": -0.5501678443, \"1243814400000\": -0.4645578726, \"1300147200000\": -0.3998141724, \"1253750400000\": -0.4228609215, \"1291161600000\": -0.4125411181, \"1313625600000\": -0.4690705621, \"1248220800000\": -0.3243291847, \"1297641600000\": -0.3969705598, \"1263772800000\": -0.344230726, \"1399593600000\": -0.6002626314, \"1205712000000\": -0.257198948, \"1231372800000\": -0.646329904, \"1289433600000\": -0.3424885918, \"1269561600000\": -0.3865065152, \"1359676800000\": -0.4861041384, \"1229904000000\": -0.6220599144, \"1294790400000\": -0.4113572162, \"1512345600000\": -0.2471625505, \"1455840000000\": -0.4283580104, \"1250726400000\": -0.4109731974, \"1375142400000\": -0.5898697708, \"1499126400000\": -0.3218819358, \"1264377600000\": -0.3765763504, \"1324252800000\": -0.5533374046, \"1341792000000\": -0.5474122751, \"1448236800000\": -0.2969018111, \"1458691200000\": -0.3937950051, \"1502928000000\": -0.3029071161, \"1227225600000\": -0.6401949692, \"1502323200000\": -0.303910473, \"1467244800000\": -0.4091877908, \"1449100800000\": -0.2976578598, \"1431907200000\": -0.1429561582, \"1245196800000\": -0.4360374503, \"1393372800000\": -0.5947365069, \"1228262400000\": -0.6342136418, \"1242086400000\": -0.4776294986, \"1464566400000\": -0.4255247008, \"1439164800000\": -0.2348912009, \"1379289600000\": -0.5357324831, \"1273017600000\": -0.4312044329, \"1402444800000\": -0.5952310482, \"1500336000000\": -0.3130407734, \"1361318400000\": -0.4937245705, \"1401926400000\": -0.5971361562, \"1282780800000\": -0.4661033142, \"1301356800000\": -0.3896948081, \"1241395200000\": -0.4915403463, \"1292457600000\": -0.3948106881, \"1438300800000\": -0.2850320703, \"1330300800000\": -0.502354691, \"1224720000000\": -0.656297534, \"1352678400000\": -0.5781693729, \"1239667200000\": -0.498551968, \"1201564800000\": -0.1079373881, \"1409097600000\": -0.5639794091, \"1447718400000\": -0.2959554388, \"1484611200000\": -0.3768861881, \"1398384000000\": -0.5939085248, \"1410825600000\": -0.5525225353, \"1493856000000\": -0.3622690455, \"1370476800000\": -0.5264673266, \"1486684800000\": -0.3605642641, \"1346025600000\": -0.5825996388, \"1502409600000\": -0.316755528, \"1387152000000\": -0.5564264145, \"1287619200000\": -0.3678319609, \"1406851200000\": -0.5636422218, \"1501200000000\": -0.3027920229, \"1302825600000\": -0.3707823494, \"1486425600000\": -0.3695188338, \"1214352000000\": -0.443727193, \"1268092800000\": -0.380725627, \"1213660800000\": -0.4674914017, \"1204070400000\": -0.1308492623, \"1477267200000\": -0.3691642252, \"1366675200000\": -0.5411499584, \"1235001600000\": -0.5694474625, \"1262908800000\": -0.3480802805, \"1454457600000\": -0.4476424991, \"1317340800000\": -0.5164453719, \"1441843200000\": -0.3710406723, \"1330473600000\": -0.5065564189, \"1404691200000\": -0.5923237447, \"1261008000000\": -0.348076534, \"1430784000000\": -0.1388911784, \"1280102400000\": -0.4734146579, \"1221091200000\": -0.6118356474, \"1231459200000\": -0.6406389324, \"1257206400000\": -0.3564537641, \"1337817600000\": -0.5138396637, \"1503273600000\": -0.2992135856, \"1304467200000\": -0.4138505286, \"1442275200000\": -0.4095041849, \"1435017600000\": -0.1034394974, \"1210204800000\": -0.2647369565, \"1435795200000\": -0.2304644942, \"1395964800000\": -0.5968795192, \"1205798400000\": -0.2949133429, \"1291766400000\": -0.4058235986, \"1332806400000\": -0.5228538031, \"1511395200000\": -0.2315134088, \"1343001600000\": -0.5568928569, \"1437523200000\": -0.2212547862, \"1428019200000\": -0.2187483609, \"1249430400000\": -0.29922372, \"1258588800000\": -0.3176753561, \"1386633600000\": -0.5404287523, \"1217289600000\": -0.455699214, \"1202169600000\": -0.0780120189, \"1287964800000\": -0.3479023206, \"1244073600000\": -0.4466850746, \"1271116800000\": -0.3646417947, \"1511136000000\": -0.2237512083, \"1285545600000\": -0.4558116097, \"1314057600000\": -0.4715526349, \"1403481600000\": -0.6002251662, \"1450137600000\": -0.3079439445, \"1423008000000\": -0.3627591659, \"1235520000000\": -0.5683534771, \"1297382400000\": -0.4153622515, \"1294272000000\": -0.408116472, \"1344902400000\": -0.5584682707, \"1492646400000\": -0.3515611583, \"1451001600000\": -0.2810041811, \"1225324800000\": -0.6819837101, \"1421884800000\": -0.3316929798, \"1243900800000\": -0.4632915471, \"1395187200000\": -0.6027053658, \"1402963200000\": -0.5935638445, \"1494374400000\": -0.3747610279, \"1381363200000\": -0.5449245824, \"1385510400000\": -0.5477045041, \"1381881600000\": -0.5464138262, \"1329868800000\": -0.5134237994, \"1334534400000\": -0.5178147268, \"1353024000000\": -0.5921457848, \"1300060800000\": -0.3887694164, \"1274918400000\": -0.4642506575, \"1481068800000\": -0.3489013315, \"1255996800000\": -0.3672924612, \"1299542400000\": -0.3748061173, \"1221609600000\": -0.6386214286, \"1348012800000\": -0.5792202732, \"1296432000000\": -0.4236889035, \"1341964800000\": -0.5456270559, \"1203292800000\": -0.0800426355, \"1453075200000\": -0.4135322613, \"1421712000000\": -0.3637988266, \"1290729600000\": -0.4015207145, \"1484524800000\": -0.3781806125, \"1249862400000\": -0.3360145965, \"1291593600000\": -0.4070056273, \"1398211200000\": -0.5888806882, \"1371772800000\": -0.5658920102, \"1442361600000\": -0.3800909656, \"1384473600000\": -0.5596465528, \"1374537600000\": -0.5755468053, \"1431648000000\": -0.1350266378, \"1204848000000\": -0.134236121, \"1507507200000\": -0.2727605896, \"1344816000000\": -0.5594217613, \"1372896000000\": -0.5837648081, \"1368489600000\": -0.5329319556, \"1444348800000\": -0.3743085788, \"1210809600000\": -0.2604190863, \"1407456000000\": -0.5633181474, \"1417737600000\": -0.4146260593, \"1250640000000\": -0.4352918918, \"1330560000000\": -0.5067044067, \"1462752000000\": -0.4257298231, \"1257465600000\": -0.3475389077, \"1448841600000\": -0.3319173966, \"1307577600000\": -0.4470335014, \"1488153600000\": -0.3544319519, \"1457049600000\": -0.4204331732, \"1293580800000\": -0.426438853, \"1406246400000\": -0.5765583671, \"1376438400000\": -0.5599556411, \"1418688000000\": -0.3811864496, \"1206921600000\": -0.289934211, \"1249603200000\": -0.3340364312, \"1364169600000\": -0.5104977633, \"1234742400000\": -0.5387559289, \"1403049600000\": -0.5953303311, \"1411516800000\": -0.5425755112, \"1227052800000\": -0.634121852, \"1435881600000\": -0.2720657215, \"1208217600000\": -0.3287538308, \"1443052800000\": -0.38463344, \"1284681600000\": -0.463990274, \"1503532800000\": -0.3004027889, \"1417392000000\": -0.4717755532, \"1203897600000\": -0.1533265396, \"1510272000000\": -0.2297310744, \"1424131200000\": -0.3401769858, \"1371600000000\": -0.5502746203, \"1347840000000\": -0.5768843148, \"1315872000000\": -0.4904201353, \"1297814400000\": -0.3914650412, \"1438732800000\": -0.2756281049, \"1510185600000\": -0.2364769551, \"1469491200000\": -0.3875203249, \"1293408000000\": -0.4193429344, \"1372291200000\": -0.595236668, \"1494288000000\": -0.3719826611, \"1498694400000\": -0.3127322096, \"1399334400000\": -0.5958754505, \"1255564800000\": -0.3931303716, \"1292544000000\": -0.3957491926, \"1279238400000\": -0.5099301648, \"1343606400000\": -0.5624452071, \"1205971200000\": -0.2503521734, \"1320019200000\": -0.4950976719, \"1461024000000\": -0.3933808268, \"1404950400000\": -0.5985879347, \"1234396800000\": -0.5657140502, \"1335916800000\": -0.4973118682, \"1464652800000\": -0.4062581955, \"1350432000000\": -0.5689997527, \"1304035200000\": -0.4019197195, \"1357516800000\": -0.5249424908, \"1288051200000\": -0.3507122144, \"1449705600000\": -0.3213012431, \"1251417600000\": -0.4292581131, \"1482278400000\": -0.3746045543, \"1228780800000\": -0.6176952127, \"1422230400000\": -0.3241287456, \"1300838400000\": -0.3883928906, \"1253059200000\": -0.3896461032, \"1335484800000\": -0.5080512824, \"1255651200000\": -0.3927426062, \"1445212800000\": -0.3379549218, \"1424044800000\": -0.3444555175, \"1351728000000\": -0.5695467454, \"1316649600000\": -0.4968997505, \"1393200000000\": -0.5851641353, \"1311638400000\": -0.442185498, \"1271030400000\": -0.3721798032, \"1362355200000\": -0.5231198064, \"1485388800000\": -0.3653459541, \"1314316800000\": -0.4565253228, \"1458259200000\": -0.4058080505, \"1363910400000\": -0.5095217935, \"1219017600000\": -0.5666394419, \"1458777600000\": -0.4039557685, \"1314230400000\": -0.456034528, \"1232409600000\": -0.6206287418, \"1299628800000\": -0.3745438606, \"1500595200000\": -0.3015357756, \"1420502400000\": -0.3179338663, \"1392249600000\": -0.5729804356, \"1201824000000\": -0.1435556022, \"1344470400000\": -0.5482252711, \"1357603200000\": -0.5269393887, \"1499299200000\": -0.3143677926, \"1474588800000\": -0.3863815686, \"1465776000000\": -0.4255938242, \"1430265600000\": -0.1056426415, \"1271808000000\": -0.3936848573, \"1248393600000\": -0.3129697206, \"1225756800000\": -0.6950778153, \"1347494400000\": -0.5694380962, \"1382054400000\": -0.5455371393, \"1221177600000\": -0.6107641413, \"1434412800000\": -0.0512260503, \"1294358400000\": -0.4068089347, \"1337299200000\": -0.5178259664, \"1331683200000\": -0.5119945001, \"1360108800000\": -0.4800122886, \"1437004800000\": -0.251190271, \"1265328000000\": -0.4093434589, \"1372204800000\": -0.5938204815, \"1369785600000\": -0.5049791319, \"1262217600000\": -0.3301812569, \"1260748800000\": -0.3232370726, \"1287360000000\": -0.3806694291, \"1472428800000\": -0.3803657732, \"1322179200000\": -0.5185771447, \"1364342400000\": -0.5160370007, \"1297296000000\": -0.4185093326, \"1486598400000\": -0.3637853391, \"1221523200000\": -0.6252257281, \"1224547200000\": -0.6475625108, \"1216252800000\": -0.4908341263, \"1259884800000\": -0.3174786635, \"1228694400000\": -0.6075440029, \"1362700800000\": -0.5116535663, \"1358467200000\": -0.513805945, \"1270771200000\": -0.3669927392, \"1274659200000\": -0.4617236263, \"1210291200000\": -0.2733764433, \"1406505600000\": -0.5646725162, \"1438214400000\": -0.2852731591, \"1275264000000\": -0.4804955903, \"1201219200000\": -0.0488640536, \"1207008000000\": -0.3288362544, \"1352332800000\": -0.579375754, \"1468800000000\": -0.3889376353, \"1415059200000\": -0.529217276, \"1336521600000\": -0.5021786043, \"1335398400000\": -0.5070528335, \"1374710400000\": -0.5808237859, \"1389225600000\": -0.5837198498, \"1413763200000\": -0.5401683688, \"1208476800000\": -0.3869748308, \"1230076800000\": -0.6465003709, \"1423094400000\": -0.3692818661, \"1447113600000\": -0.2819338813, \"1459814400000\": -0.3884760635, \"1496793600000\": -0.3380130304, \"1237766400000\": -0.5430363338, \"1356307200000\": -0.5539349753, \"1259625600000\": -0.3329630518, \"1240963200000\": -0.5119457953, \"1506384000000\": -0.2842672921, \"1320278400000\": -0.4859205587, \"1474934400000\": -0.3929215028, \"1461196800000\": -0.4079360768, \"1463529600000\": -0.4252763062, \"1210118400000\": -0.2841664356, \"1313712000000\": -0.4740515672, \"1330905600000\": -0.5012063811, \"1493683200000\": -0.3581122384, \"1430352000000\": -0.1102208951, \"1494979200000\": -0.3612239148, \"1332979200000\": -0.5423394801, \"1225670400000\": -0.6902485445, \"1298592000000\": -0.4010018208, \"1303430400000\": -0.3818345984, \"1273536000000\": -0.4753328788, \"1253664000000\": -0.4267685472, \"1288742400000\": -0.3592805173, \"1441584000000\": -0.3910988183, \"1223510400000\": -0.6262279236, \"1257120000000\": -0.3644394824, \"1366243200000\": -0.5382688806, \"1411430400000\": -0.5505181444, \"1482105600000\": -0.376394082, \"1448496000000\": -0.2957602449, \"1360281600000\": -0.4807821995, \"1275955200000\": -0.4943427471, \"1439856000000\": -0.2833998966, \"1390953600000\": -0.5826783159, \"1378857600000\": -0.534889515, \"1267747200000\": -0.3893613673, \"1323129600000\": -0.5286234517, \"1342396800000\": -0.5504675663, \"1204588800000\": -0.1249709644, \"1310083200000\": -0.4175689548, \"1310342400000\": -0.41681403, \"1226534400000\": -0.6489356122, \"1403568000000\": -0.598218902, \"1373328000000\": -0.5948751283, \"1489968000000\": -0.3537969159, \"1386720000000\": -0.5480267052, \"1493078400000\": -0.3554151712, \"1457913600000\": -0.4257157736, \"1400198400000\": -0.5980072233, \"1333584000000\": -0.5292809669, \"1298419200000\": -0.4052878455, \"1334620800000\": -0.5238391392, \"1505174400000\": -0.2810541785, \"1330387200000\": -0.5012513394, \"1402617600000\": -0.592333111, \"1233878400000\": -0.5808987164, \"1513209600000\": -0.2457960991, \"1326758400000\": -0.5390650172, \"1295222400000\": -0.4428261537, \"1419897600000\": -0.3523101074, \"1468368000000\": -0.3850326322, \"1341273600000\": -0.537543928, \"1220832000000\": -0.6016469724, \"1405900800000\": -0.594195134, \"1239148800000\": -0.5355526499, \"1498003200000\": -0.3278818271, \"1258416000000\": -0.320314783, \"1240272000000\": -0.4988198446, \"1456876800000\": -0.4284052167, \"1420761600000\": -0.3356062252, \"1328572800000\": -0.5395614318, \"1389744000000\": -0.5862075425, \"1223251200000\": -0.6012386012, \"1472688000000\": -0.3815279453, \"1402358400000\": -0.5951373851, \"1247443200000\": -0.370394584, \"1384300800000\": -0.5713750496, \"1333929600000\": -0.5325928951, \"1359417600000\": -0.4987392943, \"1453680000000\": -0.4138775036, \"1343347200000\": -0.5599500214, \"1401753600000\": -0.5972635381, \"1400112000000\": -0.5983575234, \"1265068800000\": -0.4106360101, \"1305763200000\": -0.4154221959, \"1463961600000\": -0.4216820774, \"1253232000000\": -0.4006140555, \"1453852800000\": -0.4510681343, \"1204675200000\": -0.1329192174, \"1366588800000\": -0.5259390665, \"1509926400000\": -0.2467818099, \"1461283200000\": -0.405257686, \"1398124800000\": -0.5884816832, \"1392940800000\": -0.5758390343, \"1379030400000\": -0.5337636842, \"1258502400000\": -0.3199626097, \"1385942400000\": -0.5468971279, \"1234483200000\": -0.5505912017, \"1429228800000\": -0.1390223068, \"1257811200000\": -0.3436500146, \"1222300800000\": -0.5834744524, \"1330646400000\": -0.4979787497, \"1227657600000\": -0.6546640491, \"1275436800000\": -0.4834422323, \"1498608000000\": -0.3169772661, \"1272412800000\": -0.4197850244, \"1480636800000\": -0.3389340761, \"1354838400000\": -0.5791228635, \"1351555200000\": -0.5804116682, \"1368057600000\": -0.5264785661, \"1364515200000\": -0.5326060079, \"1510012800000\": -0.2405331867, \"1318464000000\": -0.5012251137, \"1468281600000\": -0.3868470743, \"1500940800000\": -0.3032289427, \"1416528000000\": -0.5160501135, \"1240876800000\": -0.5282132073, \"1320364800000\": -0.482277063, \"1347926400000\": -0.581280862, \"1452643200000\": -0.408821006, \"1264550400000\": -0.4008238609, \"1328832000000\": -0.5253864541, \"1246320000000\": -0.4068370337, \"1231200000000\": -0.636062552, \"1414022400000\": -0.5511775328, \"1243987200000\": -0.4493750796, \"1359590400000\": -0.4966768322, \"1213920000000\": -0.4661819912, \"1237939200000\": -0.5501678443, \"1373932800000\": -0.5658058401, \"1378080000000\": -0.5653393977, \"1382918400000\": -0.5567954472, \"1209945600000\": -0.2402459219, \"1446163200000\": -0.3379742164, \"1291852800000\": -0.4149107952, \"1494460800000\": -0.3712120945, \"1418947200000\": -0.3662434342, \"1239062400000\": -0.5172696074, \"1490227200000\": -0.3514805893, \"1303776000000\": -0.3947563635, \"1479081600000\": -0.3574244888, \"1260230400000\": -0.3211259057, \"1404864000000\": -0.5974902028, \"1263254400000\": -0.337816675, \"1311897600000\": -0.4432513843, \"1288224000000\": -0.363523457, \"1258070400000\": -0.3408513604, \"1466553600000\": -0.4129268229, \"1213315200000\": -0.4419326075, \"1450915200000\": -0.2826524648, \"1281571200000\": -0.472416209, \"1199923200000\": 0.0625426167, \"1386115200000\": -0.5363412935, \"1300233600000\": -0.3915268588, \"1499212800000\": -0.3144459451, \"1229299200000\": -0.6300250268, \"1268870400000\": -0.3879002225, \"1273622400000\": -0.4720846415, \"1505865600000\": -0.2802109856, \"1345075200000\": -0.5654649063, \"1383782400000\": -0.5615535341, \"1211500800000\": -0.3115479143, \"1234828800000\": -0.5531725575, \"1202947200000\": -0.0858010445, \"1295913600000\": -0.449513701, \"1363305600000\": -0.524215665, \"1213747200000\": -0.4396565935, \"1408665600000\": -0.5569059697, \"1381190400000\": -0.5425848775, \"1251331200000\": -0.4087421417, \"1452556800000\": -0.3976130889, \"1457481600000\": -0.4245511663, \"1247529600000\": -0.3528346209, \"1251763200000\": -0.4673003289, \"1510531200000\": -0.2267034888, \"1434326400000\": -0.0219377777, \"1403740800000\": -0.5974208921, \"1248134400000\": -0.3368969031, \"1402531200000\": -0.5966097694, \"1407801600000\": -0.5584626509, \"1334275200000\": -0.5166139655, \"1382572800000\": -0.5503214519, \"1263340800000\": -0.3591306563, \"1450224000000\": -0.3096203271, \"1437955200000\": -0.2846514233, \"1506297600000\": -0.2848274163, \"1424908800000\": -0.3319383772, \"1219363200000\": -0.5494934698, \"1310515200000\": -0.4181178207, \"1512691200000\": -0.2500619675, \"1282521600000\": -0.4574675738, \"1359072000000\": -0.5182586901, \"1431993600000\": -0.1137182763, \"1444262400000\": -0.3824823726, \"1270512000000\": -0.3621260031, \"1294617600000\": -0.4177544078, \"1371168000000\": -0.5472755269, \"1245888000000\": -0.4159317233, \"1355270400000\": -0.5751871389, \"1335139200000\": -0.5118202867, \"1432252800000\": -0.0724840211, \"1446681600000\": -0.3057745191, \"1205107200000\": -0.1698468421, \"1505692800000\": -0.2800784522, \"1259798400000\": -0.3273338978, \"1453420800000\": -0.4167666364, \"1384732800000\": -0.5450032595, \"1443484800000\": -0.4045171853, \"1201737600000\": -0.1344777719, \"1236211200000\": -0.5682279686, \"1221696000000\": -0.644831294, \"1372809600000\": -0.5871647797, \"1428364800000\": -0.2019826611, \"1288310400000\": -0.366841005, \"1470182400000\": -0.4017722937, \"1448928000000\": -0.3271810396, \"1444867200000\": -0.3468280045, \"1267488000000\": -0.3797178117, \"1297987200000\": -0.3983305484, \"1385337600000\": -0.5525468878, \"1485302400000\": -0.3676045468, \"1224806400000\": -0.6662595443, \"1388361600000\": -0.5692507699, \"1460592000000\": -0.3863506598, \"1495065600000\": -0.3634442742, \"1294099200000\": -0.4024891913, \"1267660800000\": -0.3910828956, \"1479772800000\": -0.3502843613, \"1353974400000\": -0.5971286632, \"1371081600000\": -0.5504282278, \"1236038400000\": -0.5987190631, \"1271980800000\": -0.4024292469, \"1403654400000\": -0.6003637876, \"1231891200000\": -0.6337322134, \"1324425600000\": -0.5618232839, \"1393545600000\": -0.5918217104, \"1403222400000\": -0.5997343714, \"1278288000000\": -0.5293146856, \"1397520000000\": -0.5823636078, \"1462320000000\": -0.3987836906, \"1495152000000\": -0.3623696771, \"1416441600000\": -0.5247345587, \"1228435200000\": -0.6228785302, \"1446768000000\": -0.2894014552, \"1290124800000\": -0.4045179346, \"1514160000000\": -0.242913429, \"1323388800000\": -0.5310362139, \"1366848000000\": -0.5377012821, \"1411344000000\": -0.5543658257, \"1413331200000\": -0.5384524603, \"1264982400000\": -0.4094146429, \"1430179200000\": -0.1117251249, \"1449532800000\": -0.321313232, \"1467676800000\": -0.3991729546, \"1354492800000\": -0.6049570274, \"1242000000000\": -0.489476011, \"1487894400000\": -0.3492563148, \"1465862400000\": -0.4237876245, \"1485129600000\": -0.3698193051, \"1363824000000\": -0.5101437167, \"1253491200000\": -0.3989449785, \"1427932800000\": -0.2273204103, \"1476403200000\": -0.3807278749, \"1219190400000\": -0.5255138359, \"1278892800000\": -0.4986737301, \"1413244800000\": -0.5416950778, \"1410220800000\": -0.541946095, \"1398816000000\": -0.5956263066, \"1242691200000\": -0.46797845, \"1245283200000\": -0.4272630885, \"1319673600000\": -0.5021842241, \"1442534400000\": -0.3909512053, \"1447027200000\": -0.2806006804, \"1353283200000\": -0.5925672689, \"1415318400000\": -0.5312816113, \"1452038400000\": -0.3369010243, \"1224633600000\": -0.6565710304, \"1482796800000\": -0.3787540181, \"1280793600000\": -0.4631285732, \"1471305600000\": -0.367166016, \"1432080000000\": -0.1092786441, \"1475020800000\": -0.3947694763, \"1496275200000\": -0.3447818024, \"1223337600000\": -0.6061559154, \"1484870400000\": -0.371541208, \"1484092800000\": -0.3753615397, \"1451433600000\": -0.2946838682, \"1320624000000\": -0.487428535, \"1370563200000\": -0.5346516106, \"1271635200000\": -0.4049731374, \"1213833600000\": -0.4805293091, \"1400025600000\": -0.5930580636, \"1450656000000\": -0.275803255, \"1445472000000\": -0.3397622455, \"1285718400000\": -0.4614726092, \"1373587200000\": -0.5737634594, \"1483920000000\": -0.3698530238, \"1270598400000\": -0.365535341, \"1414627200000\": -0.5375045895, \"1301011200000\": -0.3828573998, \"1418860800000\": -0.3732194639, \"1241568000000\": -0.4820466517, \"1229472000000\": -0.6250814869, \"1218412800000\": -0.5397749837, \"1277942400000\": -0.5268007673, \"1380067200000\": -0.5449789071, \"1484006400000\": -0.3709074833, \"1220572800000\": -0.5909862353, \"1492128000000\": -0.3468861693, \"1371513600000\": -0.546904621, \"1407196800000\": -0.556158538, \"1238630400000\": -0.5173726369, \"1468195200000\": -0.3999321879, \"1208131200000\": -0.337552545, \"1215648000000\": -0.442942296, \"1431475200000\": -0.1161123058, \"1250035200000\": -0.3635777816, \"1470268800000\": -0.4003145208, \"1326153600000\": -0.5415470901, \"1476316800000\": -0.3813276936, \"1306713600000\": -0.4465427066, \"1395878400000\": -0.5961789191, \"1245974400000\": -0.4139647977, \"1226448000000\": -0.6624718074, \"1347235200000\": -0.5641536225, \"1431043200000\": -0.1460919997, \"1216339200000\": -0.4725904224, \"1329436800000\": -0.524736432, \"1417564800000\": -0.4440999723, \"1464739200000\": -0.4079465671, \"1480550400000\": -0.3321751575, \"1456185600000\": -0.4212811992, \"1243382400000\": -0.4830338611, \"1373500800000\": -0.564149876, \"1238457600000\": -0.5302250912, \"1215129600000\": -0.486379508, \"1222128000000\": -0.6022164442, \"1313971200000\": -0.4796470024, \"1493164800000\": -0.3546267337, \"1513036800000\": -0.2476947069, \"1289347200000\": -0.3445248282, \"1234310400000\": -0.5633162742, \"1325030400000\": -0.5676641165, \"1338336000000\": -0.5050353297, \"1469577600000\": -0.3971385915, \"1481500800000\": -0.3613712657, \"1228953600000\": -0.6166667916, \"1513728000000\": -0.2449834404, \"1219622400000\": -0.5503139588, \"1456358400000\": -0.4532414935, \"1236643200000\": -0.5802430745, \"1261526400000\": -0.3749896971, \"1394582400000\": -0.6039679447, \"1328054400000\": -0.5449864001, \"1199750400000\": 0.0355489034, \"1396224000000\": -0.5979397858, \"1481846400000\": -0.373200544, \"1430956800000\": -0.1626347812, \"1374019200000\": -0.5723641323, \"1384905600000\": -0.5457619308, \"1204243200000\": -0.1243340552, \"1337212800000\": -0.5103404093, \"1344556800000\": -0.5504638198, \"1421971200000\": -0.3309211956, \"1250467200000\": -0.4117449815, \"1378252800000\": -0.5596521726, \"1491350400000\": -0.3436288093, \"1458000000000\": -0.424012978, \"1503446400000\": -0.296386027, \"1461801600000\": -0.407940198, \"1253577600000\": -0.4134758761, \"1427760000000\": -0.2411038762, \"1504656000000\": -0.2788969668, \"1376870400000\": -0.5632619495, \"1307923200000\": -0.4473219839, \"1391990400000\": -0.5752320972, \"1382400000000\": -0.5418205864, \"1308528000000\": -0.4614557498, \"1268784000000\": -0.3867088276, \"1451952000000\": -0.348333171, \"1295481600000\": -0.4483785039, \"1236729600000\": -0.5840645301, \"1500508800000\": -0.2979228703, \"1420416000000\": -0.3178439497, \"1332288000000\": -0.5152389908, \"1292803200000\": -0.4045535266, \"1412035200000\": -0.5408652225, \"1282176000000\": -0.4463759863, \"1375228800000\": -0.5891897765, \"1318377600000\": -0.5045670141, \"1248652800000\": -0.2987198124, \"1381276800000\": -0.5403800475, \"1269475200000\": -0.3950991705, \"1293148800000\": -0.4074945488, \"1200355200000\": 0.0670946447, \"1208390400000\": -0.3655952854, \"1501459200000\": -0.2997982122, \"1420675200000\": -0.333257154, \"1435622400000\": -0.1620900365, \"1311033600000\": -0.4202008887, \"1341532800000\": -0.5368152289, \"1409875200000\": -0.5411892969, \"1207180800000\": -0.3161280412, \"1495670400000\": -0.3470447223, \"1277251200000\": -0.4832605259, \"1375056000000\": -0.5923836891, \"1204156800000\": -0.1341668103, \"1252368000000\": -0.4059940655, \"1428624000000\": -0.1861760717, \"1422835200000\": -0.3717152341, \"1413849600000\": -0.5441621646, \"1455667200000\": -0.4261597368, \"1491782400000\": -0.3433954008, \"1505088000000\": -0.2833561934, \"1472169600000\": -0.3804952157, \"1478822400000\": -0.3598647879, \"1351814400000\": -0.567881415, \"1411948800000\": -0.5414627933, \"1240531200000\": -0.518030152, \"1299801600000\": -0.3916804664, \"1265932800000\": -0.390949894, \"1282694400000\": -0.4674277108, \"1350864000000\": -0.5613587148, \"1322438400000\": -0.5179496017, \"1421280000000\": -0.3248536982, \"1487203200000\": -0.3554229078, \"1511913600000\": -0.240625651, \"1312416000000\": -0.4454562144, \"1368144000000\": -0.5240339585, \"1418169600000\": -0.3965191035, \"1358726400000\": -0.5109098811, \"1251244800000\": -0.4057280622, \"1492473600000\": -0.3513373409, \"1242604800000\": -0.4735064478, \"1411084800000\": -0.5456944934, \"1511222400000\": -0.2099137737, \"1364947200000\": -0.5347658796, \"1312761600000\": -0.4766291764, \"1278979200000\": -0.5064721221, \"1212624000000\": -0.3420839671, \"1257724800000\": -0.3451467514, \"1474502400000\": -0.3834866287, \"1287100800000\": -0.3766381681, \"1215993600000\": -0.4425414178, \"1224201600000\": -0.6565822699, \"1490832000000\": -0.3562049949, \"1441065600000\": -0.370193583, \"1489708800000\": -0.3545102542, \"1387843200000\": -0.5713506972, \"1419379200000\": -0.3948631394, \"1244160000000\": -0.4493900657, \"1238025600000\": -0.5354702264, \"1487721600000\": -0.3462768907, \"1370217600000\": -0.5124609425, \"1514505600000\": -0.2449150475, \"1454630400000\": -0.4448045063, \"1274140800000\": -0.4808533835, \"1343865600000\": -0.562615674, \"1426118400000\": -0.3269667384, \"1386547200000\": -0.5408877017, \"1222387200000\": -0.5797035749, \"1453161600000\": -0.3962240647, \"1458864000000\": -0.4009649175, \"1486339200000\": -0.3681101403, \"1422921600000\": -0.3560753651, \"1332201600000\": -0.5158646605, \"1240790400000\": -0.5291947968, \"1426809600000\": -0.27081944, \"1350000000000\": -0.5683010258, \"1457654400000\": -0.4345961621, \"1484179200000\": -0.3785219209, \"1346198400000\": -0.5851079374, \"1252454400000\": -0.401509475, \"1379376000000\": -0.545299235, \"1234915200000\": -0.5736754161, \"1384992000000\": -0.548545599, \"1299715200000\": -0.3855211791, \"1262649600000\": -0.3323617345, \"1336694400000\": -0.5060356519, \"1223856000000\": -0.6280655942, \"1351468800000\": -0.581166593, \"1454544000000\": -0.4408760874, \"1216857600000\": -0.4422623017, \"1329264000000\": -0.5223911072, \"1383609600000\": -0.5534572934, \"1468886400000\": -0.3915204897, \"1403827200000\": -0.5971998471, \"1212537600000\": -0.33556876, \"1488240000000\": -0.3531980338, \"1430870400000\": -0.1470417438, \"1377648000000\": -0.563893239, \"1443398400000\": -0.3925474123, \"1394150400000\": -0.5938092419, \"1280880000000\": -0.4611691406, \"1308873600000\": -0.4328753831, \"1342483200000\": -0.5477569554, \"1313366400000\": -0.4534044674, \"1309824000000\": -0.4150737691, \"1382313600000\": -0.5370568797, \"1426723200000\": -0.280715886, \"1260316800000\": -0.3341525735, \"1502150400000\": -0.300858535, \"1274832000000\": -0.4728751583, \"1313539200000\": -0.4593745551, \"1336089600000\": -0.4912443708, \"1268697600000\": -0.3998122991, \"1306800000000\": -0.4377290063, \"1266969600000\": -0.3922237125, \"1338249600000\": -0.5034261972, \"1272931200000\": -0.4343777396, \"1264636800000\": -0.3993252508, \"1504483200000\": -0.2796151007, \"1419984000000\": -0.3380433398, \"1426204800000\": -0.3223173007, \"1402012800000\": -0.6001108971, \"1241481600000\": -0.4891594296, \"1455753600000\": -0.4279620027, \"1313107200000\": -0.4613677065, \"1277337600000\": -0.4834478521, \"1328659200000\": -0.5263942693, \"1304553600000\": -0.414395648, \"1210550400000\": -0.2685059607, \"1282867200000\": -0.4645147875, \"1296000000000\": -0.4420618626, \"1352851200000\": -0.5835531295, \"1294963200000\": -0.4208134455, \"1490659200000\": -0.3500136186, \"1258675200000\": -0.3198164952, \"1227139200000\": -0.6380051252, \"1504828800000\": -0.2832917157, \"1494547200000\": -0.3658296867, \"1321574400000\": -0.5117341166, \"1366934400000\": -0.5415545831, \"1329350400000\": -0.5249275047, \"1433376000000\": -0.0293839963, \"1470009600000\": -0.4049002675, \"1228867200000\": -0.6072911125, \"1340668800000\": -0.5401290303, \"1260835200000\": -0.3287463378, \"1433808000000\": -0.0039001326, \"1513900800000\": -0.2404672666, \"1496707200000\": -0.3456915711, \"1476057600000\": -0.3829718561, \"1408924800000\": -0.5611208104, \"1374796800000\": -0.5833845358, \"1201478400000\": -0.113594641, \"1300665600000\": -0.3992240947, \"1354752000000\": -0.5872078647, \"1417478400000\": -0.4522692703, \"1378944000000\": -0.5302869089, \"1299024000000\": -0.3924447575, \"1256688000000\": -0.3763290798, \"1499385600000\": -0.3151484561, \"1200614400000\": 0.0142723874, \"1389052800000\": -0.5807638415, \"1374624000000\": -0.5786751538, \"1479859200000\": -0.3490920296, \"1390348800000\": -0.5796773493, \"1449014400000\": -0.3027801089, \"1461888000000\": -0.4086587815, \"1410480000000\": -0.5432311531, \"1465257600000\": -0.4048543726, \"1440547200000\": -0.4332084492, \"1506643200000\": -0.2813225796, \"1453334400000\": -0.4227831811, \"1223596800000\": -0.642776325, \"1356048000000\": -0.5556621234, \"1435190400000\": -0.1183459841, \"1363046400000\": -0.5212652765, \"1482192000000\": -0.3801254337, \"1203379200000\": -0.0594817057, \"1381968000000\": -0.5479199293, \"1377561600000\": -0.5614917164, \"1388620800000\": -0.5650321827, \"1210723200000\": -0.2552320223, \"1467849600000\": -0.3986913388, \"1421366400000\": -0.3190409645, \"1447200000000\": -0.2818574522, \"1313020800000\": -0.4629506133, \"1391731200000\": -0.5855444076, \"1369872000000\": -0.5065227002, \"1356393600000\": -0.5413503975, \"1383004800000\": -0.5556527571, \"1265846400000\": -0.3967345287, \"1291334400000\": -0.4083937148, \"1415836800000\": -0.5167450939, \"1403136000000\": -0.6015739152, \"1446595200000\": -0.3202795657, \"1267056000000\": -0.3832976165, \"1210896000000\": -0.2626613816, \"1240185600000\": -0.4927823194, \"1319760000000\": -0.492529429, \"1247011200000\": -0.3720318155, \"1259107200000\": -0.3200750054, \"1302134400000\": -0.3772488517, \"1437436800000\": -0.2195976981, \"1471392000000\": -0.3681395506, \"1346803200000\": -0.5879047184, \"1395705600000\": -0.5926702983, \"1448323200000\": -0.2967980323, \"1217462400000\": -0.4745105165, \"1355356800000\": -0.5798946477, \"1340064000000\": -0.5207032977, \"1263945600000\": -0.3641341406, \"1345161600000\": -0.5666244558, \"1442188800000\": -0.3853578306, \"1453766400000\": -0.4491654615, \"1357776000000\": -0.5259577991, \"1387324800000\": -0.5584289322, \"1414972800000\": -0.5293334183, \"1274400000000\": -0.4813329387, \"1209427200000\": -0.2924799748, \"1385424000000\": -0.5527735525, \"1354579200000\": -0.6007197075, \"1476662400000\": -0.3859672029, \"1270684800000\": -0.3730677297, \"1265155200000\": -0.3948013218, \"1354147200000\": -0.603677589, \"1246233600000\": -0.4043081292, \"1428883200000\": -0.1718175143, \"1312502400000\": -0.4572371625, \"1346630400000\": -0.5825677934, \"1348790400000\": -0.5704402916, \"1306281600000\": -0.4398308069, \"1284076800000\": -0.4506563912, \"1346371200000\": -0.5869699604, \"1316736000000\": -0.4999363091, \"1436918400000\": -0.2569218924, \"1476230400000\": -0.3818214856, \"1210636800000\": -0.2784773373, \"1334880000000\": -0.5079239006, \"1473379200000\": -0.3784432439, \"1249257600000\": -0.2905898529, \"1257292800000\": -0.3529957215, \"1381708800000\": -0.5368283417, \"1472515200000\": -0.379577879, \"1502755200000\": -0.3057582967, \"1415145600000\": -0.5310380872, \"1356480000000\": -0.5396232494, \"1496880000000\": -0.3329352151, \"1364428800000\": -0.5318154911, \"1511740800000\": -0.2413385023, \"1241049600000\": -0.5086563462, \"1293753600000\": -0.4139947699, \"1460419200000\": -0.3970998149, \"1365638400000\": -0.5358280195, \"1271721600000\": -0.4055444825, \"1440115200000\": -0.3275856643, \"1466035200000\": -0.4202861221, \"1365552000000\": -0.5344361854, \"1315526400000\": -0.4846467401, \"1406764800000\": -0.5597364694, \"1312243200000\": -0.4461924065, \"1433116800000\": -0.0490982114, \"1268352000000\": -0.3943498655, \"1220227200000\": -0.567431832, \"1440374400000\": -0.386406483, \"1307664000000\": -0.4451527458, \"1321228800000\": -0.4848153338, \"1292889600000\": -0.3912814614, \"1237507200000\": -0.5541934855, \"1275350400000\": -0.4859467844}, \"benchmark_annualized_return\": -0.02844, \"turnover_rate\": 27.18865, \"max_drawdown\": 0.72145, \"beta\": 1.06322, \"sharpe\": -0.04326, \"alpha\": 0.0541, \"volatility\": 0.30866, \"annualized_return\": 0.02165, \"cumulative_return\": {\"1243296000000\": -0.4249496613, \"1355097600000\": -0.4262133045, \"1283126400000\": -0.3297189617, \"1402876800000\": -0.3318052402, \"1255305600000\": -0.3140346417, \"1308096000000\": -0.2914847317, \"1282003200000\": -0.3293929169, \"1361145600000\": -0.2829332175, \"1298505600000\": -0.2409832009, \"1240444800000\": -0.4560717082, \"1348185600000\": -0.4330479758, \"1246579200000\": -0.2917857566, \"1429833600000\": 0.4184099598, \"1348704000000\": -0.4255723758, \"1213056000000\": -0.3590221121, \"1419552000000\": -0.0101960971, \"1408492800000\": -0.2469227983, \"1254182400000\": -0.3550745084, \"1324944000000\": -0.457408219, \"1477526400000\": 0.1330189223, \"1460937600000\": 0.0629454527, \"1216080000000\": -0.4300903847, \"1355961600000\": -0.3969909254, \"1509062400000\": 0.2899351288, \"1498780800000\": 0.190925929, \"1211414400000\": -0.2567328928, \"1208736000000\": -0.3805820781, \"1286841600000\": -0.2638278558, \"1375660800000\": -0.3449728968, \"1206316800000\": -0.2595012212, \"1321833600000\": -0.368463227, \"1483660800000\": 0.1232284072, \"1354060800000\": -0.4660927056, \"1510617600000\": 0.3076119889, \"1205366400000\": -0.1896533502, \"1307059200000\": -0.2865246717, \"1202860800000\": -0.0881582377, \"1356912000000\": -0.3582330954, \"1493337600000\": 0.1323580167, \"1339632000000\": -0.3612488599, \"1247788800000\": -0.2549634663, \"1487030400000\": 0.1279934821, \"1204502400000\": -0.0707558827, \"1471478400000\": 0.130627278, \"1316995200000\": -0.3609768793, \"1272240000000\": -0.2793793294, \"1347321600000\": -0.4021238671, \"1466121600000\": 0.0265071962, \"1345507200000\": -0.3958875955, \"1448582400000\": 0.2009364816, \"1445385600000\": 0.087568783, \"1326326400000\": -0.4247064771, \"1371427200000\": -0.3275144373, \"1474329600000\": 0.0958940594, \"1290384000000\": -0.2444743742, \"1320192000000\": -0.3380097171, \"1257897600000\": -0.2389118828, \"1293062400000\": -0.2415644102, \"1375315200000\": -0.3569712968, \"1471910400000\": 0.117791028, \"1297728000000\": -0.2416995246, \"1209513600000\": -0.2220924581, \"1211241600000\": -0.2575730228, \"1353369600000\": -0.4486346699, \"1229644800000\": -0.5934934439, \"1401408000000\": -0.3462773877, \"1370390400000\": -0.2832516235, \"1253145600000\": -0.2851261484, \"1242345600000\": -0.412973821, \"1326844800000\": -0.4314439771, \"1203984000000\": -0.1329689627, \"1284940800000\": -0.3438921292, \"1418601600000\": -0.0200810659, \"1326067200000\": -0.445157519, \"1320710400000\": -0.3423068171, \"1225238400000\": -0.6869211189, \"1360195200000\": -0.2840955075, \"1405036800000\": -0.3333313205, \"1234137600000\": -0.5273559313, \"1251849600000\": -0.3812272314, \"1308182400000\": -0.3031153797, \"1310947200000\": -0.2404105415, \"1369353600000\": -0.2756125488, \"1314662400000\": -0.3000181731, \"1340236800000\": -0.3687088899, \"1319068800000\": -0.3941323193, \"1498521600000\": 0.185074189, \"1384128000000\": -0.3528499464, \"1335312000000\": -0.3575620188, \"1226620800000\": -0.6307932235, \"1338768000000\": -0.362177545, \"1200528000000\": 0.0203529477, \"1214438400000\": -0.4178196516, \"1427068800000\": 0.2150521147, \"1278374400000\": -0.4256351629, \"1303344000000\": -0.196612322, \"1467763200000\": 0.0822109375, \"1417651200000\": -0.0546901759, \"1280361600000\": -0.3530908315, \"1433721600000\": 0.7204629239, \"1299196800000\": -0.218290234, \"1510704000000\": 0.2966862889, \"1477008000000\": 0.1255552312, \"1374192000000\": -0.3821976664, \"1507680000000\": 0.2664984709, \"1234224000000\": -0.5202457513, \"1433289600000\": 0.6912642139, \"1429142400000\": 0.3640904539, \"1279584000000\": -0.3872453415, \"1263427200000\": -0.2294916868, \"1400630400000\": -0.3542329309, \"1388707200000\": -0.322127405, \"1492732800000\": 0.1477547767, \"1267574400000\": -0.2598798696, \"1336953600000\": -0.3500409554, \"1436832000000\": 0.2973464278, \"1432512000000\": 0.599643146, \"1283817600000\": -0.3153141617, \"1416355200000\": -0.1971293554, \"1415750400000\": -0.1859351946, \"1254268800000\": -0.3494604084, \"1274313600000\": -0.4012036507, \"1318550400000\": -0.3585451593, \"1450828800000\": 0.2890999015, \"1209340800000\": -0.2710857281, \"1284595200000\": -0.3405406792, \"1301270400000\": -0.2005936806, \"1502236800000\": 0.2212832665, \"1337558400000\": -0.3564709058, \"1389571200000\": -0.3461411656, \"1427673600000\": 0.2462529547, \"1215475200000\": -0.4145879697, \"1409011200000\": -0.2620708983, \"1369180800000\": -0.2780132588, \"1512950400000\": 0.2630840963, \"1253836800000\": -0.3387566784, \"1431561600000\": 0.4500645283, \"1320969600000\": -0.347794247, \"1303689600000\": -0.212670052, \"1422316800000\": 0.0322007906, \"1385683200000\": -0.2968129904, \"1213142400000\": -0.3687520421, \"1326240000000\": -0.4257007171, \"1482883200000\": 0.1068535887, \"1353542400000\": -0.4476520056, \"1375747200000\": -0.3392691268, \"1322092800000\": -0.373985457, \"1419292800000\": -0.0494964971, \"1392163200000\": -0.2961359667, \"1442966400000\": -0.0006393437, \"1480464000000\": 0.1704739731, \"1477612800000\": 0.1283094623, \"1422489600000\": 0.0106202798, \"1414454400000\": -0.2132682168, \"1445299200000\": 0.150343583, \"1463443200000\": 0.007919199, \"1252281600000\": -0.335451916, \"1355788800000\": -0.4005428345, \"1333065600000\": -0.4068494007, \"1201046400000\": -0.0639813423, \"1501804800000\": 0.2156579565, \"1405296000000\": -0.3247572105, \"1392854400000\": -0.3000709867, \"1488844800000\": 0.1490708063, \"1380153600000\": -0.3241904253, \"1416960000000\": -0.1444846354, \"1271894400000\": -0.2765100194, \"1216771200000\": -0.4237261247, \"1285027200000\": -0.3429358292, \"1208995200000\": -0.2850715181, \"1366156800000\": -0.3479839962, \"1281052800000\": -0.3406829008, \"1332892800000\": -0.3999889107, \"1444694400000\": 0.0919133155, \"1507852800000\": 0.2761277509, \"1398297600000\": -0.3348108207, \"1479340800000\": 0.1460982144, \"1508198400000\": 0.2670663388, \"1239235200000\": -0.4717517339, \"1490572800000\": 0.1565555256, \"1215561600000\": -0.3951118897, \"1294185600000\": -0.2393514855, \"1225152000000\": -0.6738460209, \"1332374400000\": -0.3681388208, \"1412726400000\": -0.1991699369, \"1383868800000\": -0.355063291, \"1450310400000\": 0.2667493215, \"1274227200000\": -0.3917985107, \"1481155200000\": 0.1633320776, \"1378771200000\": -0.293628365, \"1409529600000\": -0.2489255506, \"1418774400000\": 0.0112212029, \"1233619200000\": -0.5641203013, \"1471996800000\": 0.116835198, \"1201132800000\": -0.0463085523, \"1441756800000\": 0.0514561602, \"1224028800000\": -0.6472784309, \"1361750400000\": -0.3065649446, \"1436400000000\": 0.1856368908, \"1502668800000\": 0.2151604465, \"1509494400000\": 0.2835694356, \"1308614400000\": -0.3053489997, \"1217376000000\": -0.4262832112, \"1349654400000\": -0.4199364258, \"1306454400000\": -0.2936612344, \"1399939200000\": -0.3406241209, \"1390780800000\": -0.3224007318, \"1218672000000\": -0.5471994535, \"1438905600000\": 0.278832689, \"1485216000000\": 0.0835451962, \"1382659200000\": -0.3303037761, \"1211932800000\": -0.2698866028, \"1470700800000\": 0.0983372283, \"1409616000000\": -0.2371326206, \"1417046400000\": -0.1334540554, \"1441670400000\": 0.0259419802, \"1339372800000\": -0.363769915, \"1491955200000\": 0.1666390945, \"1503964800000\": 0.2424384458, \"1433462400000\": 0.7073909639, \"1475107200000\": 0.0947709094, \"1362441600000\": -0.2954309946, \"1276732800000\": -0.3824182094, \"1252886400000\": -0.291459986, \"1256169600000\": -0.2706061217, \"1337644800000\": -0.3465155458, \"1369094400000\": -0.2775713088, \"1454025600000\": -0.057374208, \"1509408000000\": 0.2804996856, \"1508371200000\": 0.2532232688, \"1307491200000\": -0.2813483717, \"1496620800000\": 0.0957115596, \"1464912000000\": 0.0459611229, \"1343952000000\": -0.395979192, \"1340755200000\": -0.3840911845, \"1268006400000\": -0.2700517034, \"1509321600000\": 0.2727180888, \"1229990400000\": -0.6195987439, \"1328227200000\": -0.409800966, \"1439337600000\": 0.317610394, \"1345680000000\": -0.4001678534, \"1318982400000\": -0.3783852893, \"1388102400000\": -0.319327395, \"1457568000000\": -0.0607846764, \"1337731200000\": -0.3493015858, \"1352764800000\": -0.4355279699, \"1385596800000\": -0.2981058904, \"1455580800000\": -0.0092697824, \"1429574400000\": 0.3859272098, \"1462233600000\": 0.0542394778, \"1499644800000\": 0.2028816034, \"1436227200000\": 0.1737271608, \"1381795200000\": -0.3004279561, \"1267142400000\": -0.2725731696, \"1432771200000\": 0.554769646, \"1289260800000\": -0.1638835747, \"1440028800000\": 0.231956804, \"1328745600000\": -0.400043006, \"1395792000000\": -0.3321615354, \"1259539200000\": -0.2261339254, \"1456790400000\": -0.0737587564, \"1507593600000\": 0.2707350409, \"1414540800000\": -0.2017505768, \"1472601600000\": 0.121317568, \"1337904000000\": -0.3624476258, \"1427846400000\": 0.2769852347, \"1460332800000\": 0.0670849727, \"1480982400000\": 0.1530322176, \"1468540800000\": 0.1114922427, \"1457308800000\": -0.0269598264, \"1459987200000\": 0.0586359211, \"1242172800000\": -0.410816791, \"1199664000000\": 0.0506091436, \"1414713600000\": -0.1915178868, \"1383177600000\": -0.335439781, \"1346976000000\": -0.4007855971, \"1392076800000\": -0.2984150567, \"1226880000000\": -0.6190270835, \"1332460800000\": -0.3769119408, \"1338163200000\": -0.3520933758, \"1404086400000\": -0.3333443435, \"1245110400000\": -0.3743217793, \"1388016000000\": -0.330473435, \"1404259200000\": -0.3295022735, \"1441929600000\": 0.0304314263, \"1213574400000\": -0.4305920021, \"1390867200000\": -0.3222674518, \"1459382400000\": 0.0523701711, \"1424822400000\": 0.0495453458, \"1212019200000\": -0.2909577328, \"1492387200000\": 0.1525150745, \"1339977600000\": -0.3521982399, \"1318204800000\": -0.3826273393, \"1283212800000\": -0.3310164517, \"1278547200000\": -0.4212601229, \"1389657600000\": -0.3395623556, \"1256860800000\": -0.2879668592, \"1500854400000\": 0.2380803729, \"1493769600000\": 0.1365541467, \"1282089600000\": -0.3278436069, \"1239926400000\": -0.4443217582, \"1343174400000\": -0.397674932, \"1463356800000\": 0.010852549, \"1212710400000\": -0.3035336021, \"1288656000000\": -0.173263763, \"1490054400000\": 0.1530377756, \"1451260800000\": 0.2441480121, \"1231718400000\": -0.6066485855, \"1300406400000\": -0.2261139906, \"1323043200000\": -0.3977146483, \"1468454400000\": 0.1130806927, \"1268611200000\": -0.2928572434, \"1426550400000\": 0.1421338194, \"1514419200000\": 0.225777502, \"1309219200000\": -0.2718079997, \"1449792000000\": 0.2024529915, \"1271203200000\": -0.2372502878, \"1247097600000\": -0.2839281663, \"1290988800000\": -0.2418067442, \"1331078400000\": -0.3728533419, \"1282262400000\": -0.3398232269, \"1276128000000\": -0.3791637194, \"1469404800000\": 0.0982001352, \"1364256000000\": -0.309594379, \"1342742400000\": -0.3891600866, \"1335225600000\": -0.3628106088, \"1433894400000\": 0.7262642039, \"1291680000000\": -0.2421268121, \"1450742400000\": 0.2965192715, \"1407283200000\": -0.2568081017, \"1218758400000\": -0.5508916535, \"1341446400000\": -0.3801048245, \"1473292800000\": 0.1254874379, \"1502064000000\": 0.2213828965, \"1376265600000\": -0.3219139866, \"1225065600000\": -0.6875795309, \"1236902400000\": -0.5389007123, \"1480032000000\": 0.1733442531, \"1499817600000\": 0.1946041534, \"1202083200000\": -0.0641812077, \"1236556800000\": -0.5386446775, \"1311724800000\": -0.2720398415, \"1279756800000\": -0.3774756515, \"1309737600000\": -0.2511794945, \"1375920000000\": -0.3445746366, \"1488499200000\": 0.1404800112, \"1452816000000\": 0.010412959, \"1380240000000\": -0.3225044953, \"1367539200000\": -0.3275939307, \"1242950400000\": -0.418850231, \"1244678400000\": -0.3755775793, \"1451347200000\": 0.2567178721, \"1372118400000\": -0.4033528573, \"1297209600000\": -0.2897300246, \"1261958400000\": -0.2302954254, \"1498435200000\": 0.185744799, \"1300924800000\": -0.2129490906, \"1462492800000\": 0.0265431178, \"1276041600000\": -0.3731874694, \"1323216000000\": -0.3959011183, \"1439251200000\": 0.333379114, \"1491868800000\": 0.1744047645, \"1364860800000\": -0.339941159, \"1283731200000\": -0.3173572217, \"1368662400000\": -0.3033093388, \"1350518400000\": -0.4002430194, \"1255046400000\": -0.3132770517, \"1245024000000\": -0.3724224193, \"1478563200000\": 0.1343956444, \"1227484800000\": -0.6490834835, \"1266883200000\": -0.2937048096, \"1332720000000\": -0.3765529108, \"1406160000000\": -0.3147404921, \"1504137600000\": 0.2488195758, \"1331769600000\": -0.3712789008, \"1246492800000\": -0.3010655066, \"1214784000000\": -0.4600697016, \"1341187200000\": -0.3738827545, \"1402272000000\": -0.3524845802, \"1237161600000\": -0.5304796623, \"1472774400000\": 0.1111037279, \"1223424000000\": -0.6150012551, \"1250553600000\": -0.3266987963, \"1459296000000\": 0.0500687711, \"1237248000000\": -0.5122888823, \"1423785600000\": 0.0356550258, \"1345420800000\": -0.4000770155, \"1241740800000\": -0.4124845432, \"1464048000000\": 0.0005029129, \"1411689600000\": -0.2192508582, \"1425600000000\": 0.0621422694, \"1227571200000\": -0.6502516935, \"1320883200000\": -0.3467712371, \"1495756800000\": 0.1004567296, \"1216944000000\": -0.4137983447, \"1312848000000\": -0.3132113123, \"1470096000000\": 0.0737073852, \"1400544000000\": -0.3605349209, \"1489449600000\": 0.1505526863, \"1203465600000\": -0.0618543827, \"1247702400000\": -0.2586920363, \"1378166400000\": -0.3174552302, \"1315958400000\": -0.3329001282, \"1478131200000\": 0.1328448723, \"1466467200000\": 0.0213252962, \"1323734400000\": -0.4255431509, \"1275004800000\": -0.3651922007, \"1288569600000\": -0.168039173, \"1352073600000\": -0.4121458558, \"1342051200000\": -0.3754741366, \"1323993600000\": -0.4331159709, \"1272499200000\": -0.3075415394, \"1306972800000\": -0.2963698217, \"1258329600000\": -0.2098729228, \"1302566400000\": -0.1960871142, \"1255392000000\": -0.3027355717, \"1497916800000\": 0.143649559, \"1289952000000\": -0.2664955847, \"1514332800000\": 0.219947602, \"1334188800000\": -0.3699943707, \"1369958400000\": -0.2716055735, \"1404432000000\": -0.3265505735, \"1343260800000\": -0.400661312, \"1506556800000\": 0.2392480209, \"1350950400000\": -0.4062542794, \"1450396800000\": 0.2692061315, \"1374105600000\": -0.3611286364, \"1200441600000\": 0.0512799677, \"1263513600000\": -0.2244989568, \"1425945600000\": 0.0760975794, \"1316131200000\": -0.3313801482, \"1502841600000\": 0.2185390437, \"1423180800000\": -0.0171497402, \"1357257600000\": -0.3626758554, \"1369699200000\": -0.2605042635, \"1275868800000\": -0.3953769494, \"1454284800000\": -0.069112758, \"1247616000000\": -0.2643483263, \"1292371200000\": -0.2278472721, \"1308009600000\": -0.2835476017, \"1274745600000\": -0.3758364007, \"1372636800000\": -0.3896763575, \"1325116800000\": -0.457239619, \"1222041600000\": -0.5857996763, \"1336435200000\": -0.3319651654, \"1490918400000\": 0.1487989656, \"1269388800000\": -0.2677498424, \"1512518400000\": 0.2398439963, \"1427241600000\": 0.2110152747, \"1296086400000\": -0.2910022767, \"1459209600000\": 0.0160661011, \"1434067200000\": 0.7457791239, \"1411603200000\": -0.2193701582, \"1288915200000\": -0.1691313047, \"1363737600000\": -0.3026768302, \"1218067200000\": -0.4685900812, \"1462838400000\": -0.000403641, \"1283472000000\": -0.3284391917, \"1457395200000\": -0.0279499164, \"1413417600000\": -0.2097680669, \"1257379200000\": -0.2463183192, \"1265760000000\": -0.2859498256, \"1428969600000\": 0.3827855939, \"1341878400000\": -0.3863032745, \"1250121600000\": -0.2699981063, \"1256515200000\": -0.2585791692, \"1487116800000\": 0.1156606721, \"1433980800000\": 0.7340145239, \"1361923200000\": -0.3073027846, \"1359331200000\": -0.3054726368, \"1277769600000\": -0.4205284568, \"1495584000000\": 0.0912286196, \"1487635200000\": 0.1404902512, \"1293667200000\": -0.2708176655, \"1369008000000\": -0.2830165488, \"1464307200000\": -0.0033217771, \"1377475200000\": -0.3246048002, \"1397433600000\": -0.3100502725, \"1397001600000\": -0.3180736725, \"1407369600000\": -0.2669506617, \"1336608000000\": -0.3416096954, \"1383696000000\": -0.336394151, \"1341360000000\": -0.3723802345, \"1211328000000\": -0.2423064728, \"1346716800000\": -0.4280094234, \"1363651200000\": -0.3267472402, \"1473638400000\": 0.0938014179, \"1390176000000\": -0.3502682756, \"1297900800000\": -0.2285563546, \"1214956800000\": -0.4724963397, \"1508803200000\": 0.2719613488, \"1220400000000\": -0.5866939476, \"1465344000000\": 0.0414813162, \"1499040000000\": 0.193226939, \"1407110400000\": -0.2573381817, \"1465948800000\": 0.0262813662, \"1225929600000\": -0.6939409389, \"1512432000000\": 0.2377725963, \"1215734400000\": -0.4154982497, \"1238716800000\": -0.4598766739, \"1491523200000\": 0.1718508845, \"1428537600000\": 0.3312718739, \"1415577600000\": -0.1817080946, \"1506470400000\": 0.2433832409, \"1292198400000\": -0.2282517021, \"1389312000000\": -0.3403568056, \"1408406400000\": -0.2441021283, \"1214524800000\": -0.4589449916, \"1438646400000\": 0.292619869, \"1250812800000\": -0.3137692914, \"1391040000000\": -0.3251604818, \"1200873600000\": -0.0262336423, \"1377129600000\": -0.3377648402, \"1323648000000\": -0.4082530209, \"1409184000000\": -0.2648534483, \"1208304000000\": -0.3377622269, \"1212105600000\": -0.2821850828, \"1305504000000\": -0.2527187717, \"1289865600000\": -0.2515558747, \"1450051200000\": 0.2435224715, \"1257984000000\": -0.2379693428, \"1423699200000\": 0.0233849758, \"1342656000000\": -0.3835677166, \"1200268800000\": 0.0897353336, \"1255478400000\": -0.2976041617, \"1245715200000\": -0.3490666293, \"1324339200000\": -0.4336945909, \"1217808000000\": -0.4528470312, \"1406073600000\": -0.3231812121, \"1386288000000\": -0.2907507804, \"1512604800000\": 0.2289564963, \"1298332800000\": -0.2479970409, \"1445558400000\": 0.145686463, \"1266796800000\": -0.2834221896, \"1367798400000\": -0.3174417707, \"1439769600000\": 0.350759934, \"1321920000000\": -0.368120897, \"1224460800000\": -0.6458239209, \"1441152000000\": 0.0095993602, \"1487289600000\": 0.1172226721, \"1376352000000\": -0.3188958466, \"1446508800000\": 0.1231605114, \"1230508800000\": -0.6312995649, \"1355184000000\": -0.4291943145, \"1258934400000\": -0.1940398154, \"1415923200000\": -0.1975532346, \"1315353600000\": -0.3175953631, \"1205884800000\": -0.2623633112, \"1326931200000\": -0.4231693471, \"1458086400000\": -0.0422377575, \"1320796800000\": -0.3340395871, \"1255910400000\": -0.2748849917, \"1213228800000\": -0.3855564721, \"1207526400000\": -0.2946897969, \"1300320000000\": -0.231254504, \"1397606400000\": -0.3167369525, \"1507766400000\": 0.2677614309, \"1500422400000\": 0.2159100429, \"1447977600000\": 0.2828769295, \"1406592000000\": -0.2774074221, \"1344211200000\": -0.384259722, \"1314835200000\": -0.3046815631, \"1369612800000\": -0.2695787135, \"1322611200000\": -0.3917735383, \"1220313600000\": -0.5827636476, \"1230249600000\": -0.6321067649, \"1332115200000\": -0.3557960808, \"1466640000000\": 0.0304916075, \"1309132800000\": -0.2731049297, \"1501545600000\": 0.2392632865, \"1456963200000\": -0.0284994464, \"1439510400000\": 0.346324644, \"1272326400000\": -0.2929067994, \"1211155200000\": -0.2111439028, \"1498089600000\": 0.152877549, \"1291939200000\": -0.2519272021, \"1484697600000\": 0.0758826862, \"1226275200000\": -0.6658283289, \"1442793600000\": 0.0047410363, \"1398643200000\": -0.3591087807, \"1348444800000\": -0.4286059758, \"1281312000000\": -0.3345963408, \"1375833600000\": -0.3429801768, \"1299110400000\": -0.2297548309, \"1300752000000\": -0.2223413406, \"1346889600000\": -0.4243791271, \"1490745600000\": 0.1509523256, \"1208908800000\": -0.3473774081, \"1362960000000\": -0.3067963102, \"1283904000000\": -0.3137164717, \"1287705600000\": -0.203398193, \"1393891200000\": -0.3274598669, \"1310428800000\": -0.2585833945, \"1289520000000\": -0.2222794247, \"1231286400000\": -0.6090251949, \"1216684800000\": -0.4163546447, \"1269216000000\": -0.2628694024, \"1284336000000\": -0.3148876192, \"1489622400000\": 0.1613982363, \"1301529600000\": -0.2227755006, \"1497225600000\": 0.1259985847, \"1280707200000\": -0.3453292208, \"1379462400000\": -0.311601495, \"1400716800000\": -0.3546513309, \"1470614400000\": 0.0884375683, \"1277164800000\": -0.3720941268, \"1329091200000\": -0.396123466, \"1348099200000\": -0.4325336058, \"1466985600000\": 0.0358922775, \"1214179200000\": -0.4705515516, \"1421625600000\": -0.0350431994, \"1479168000000\": 0.1480166744, \"1410393600000\": -0.2238425506, \"1215043200000\": -0.4505307797, \"1337126400000\": -0.3607951258, \"1212364800000\": -0.2804400521, \"1284422400000\": -0.3134679092, \"1273795200000\": -0.360186308, \"1264118400000\": -0.2566995114, \"1339545600000\": -0.3559943999, \"1412899200000\": -0.2025001669, \"1362009600000\": -0.2865521246, \"1232668800000\": -0.5801636713, \"1409788800000\": -0.2258900506, \"1505952000000\": 0.2536913478, \"1492992000000\": 0.1257174867, \"1484784000000\": 0.0695956662, \"1398038400000\": -0.3301923225, \"1500249600000\": 0.1827120434, \"1440460800000\": -0.0145948398, \"1207785600000\": -0.2893211069, \"1321315200000\": -0.333006347, \"1226361600000\": -0.6691507489, \"1477440000000\": 0.1340278523, \"1321401600000\": -0.352338947, \"1387756800000\": -0.332046395, \"1377043200000\": -0.3365953366, \"1295827200000\": -0.3078153467, \"1342137600000\": -0.3764078966, \"1248998400000\": -0.2150106062, \"1505433600000\": 0.2563848078, \"1483401600000\": 0.1207738772, \"1241654400000\": -0.4175105132, \"1429488000000\": 0.3425044398, \"1511827200000\": 0.2547901363, \"1379980800000\": -0.3053933053, \"1378425600000\": -0.319444965, \"1469664000000\": 0.0772104052, \"1478476800000\": 0.1279627644, \"1312156800000\": -0.2763729923, \"1434672000000\": 0.5100810379, \"1406678400000\": -0.2737675121, \"1262736000000\": -0.2210797968, \"1437696000000\": 0.3542907778, \"1339027200000\": -0.367639165, \"1407888000000\": -0.2533605217, \"1401062400000\": -0.3447443877, \"1385078400000\": -0.3134187064, \"1422403200000\": 0.0219576706, \"1471219200000\": 0.1363090683, \"1219276800000\": -0.5505661735, \"1206576000000\": -0.2918697812, \"1215388800000\": -0.4200857297, \"1325635200000\": -0.459856989, \"1351209600000\": -0.4247494158, \"1499731200000\": 0.1949317534, \"1513296000000\": 0.2388141709, \"1380499200000\": -0.3224562453, \"1426464000000\": 0.1267934794, \"1319414400000\": -0.3835202493, \"1309478400000\": -0.2689117945, \"1262131200000\": -0.2187279854, \"1305849600000\": -0.2462716144, \"1373846400000\": -0.3459364564, \"1233792000000\": -0.5590479613, \"1381449600000\": -0.3010450953, \"1514246400000\": 0.234805002, \"1279497600000\": -0.4032980515, \"1305072000000\": -0.2423641317, \"1382486400000\": -0.3144740761, \"1281398400000\": -0.3571569808, \"1311552000000\": -0.2820191415, \"1281916800000\": -0.3338783369, \"1216166400000\": -0.4542602147, \"1303948800000\": -0.237213222, \"1482969600000\": 0.1030776787, \"1423526400000\": 0.0098889698, \"1325203200000\": -0.447488049, \"1309305600000\": -0.2820742197, \"1447891200000\": 0.2815376195, \"1339113600000\": -0.374016355, \"1375401600000\": -0.3547376168, \"1286928000000\": -0.2536589558, \"1218153600000\": -0.5035271012, \"1239840000000\": -0.4333310882, \"1451865600000\": 0.1423414321, \"1400457600000\": -0.3610461809, \"1511308800000\": 0.2970046889, \"1461110400000\": 0.0304839727, \"1395273600000\": -0.3580051118, \"1480291200000\": 0.1766842231, \"1473724800000\": 0.0944252279, \"1216598400000\": -0.4193806847, \"1303862400000\": -0.223076412, \"1223942400000\": -0.6423811251, \"1284508800000\": -0.3279434492, \"1497398400000\": 0.1272968847, \"1510099200000\": 0.2888489356, \"1474848000000\": 0.0843068494, \"1401321600000\": -0.3478515277, \"1444608000000\": 0.0867583455, \"1277856000000\": -0.4284604768, \"1336348800000\": -0.3314286754, \"1377820800000\": -0.3274340202, \"1494806400000\": 0.0979630353, \"1235433600000\": -0.5172303387, \"1437609600000\": 0.3800460478, \"1303257600000\": -0.203931452, \"1384819200000\": -0.3128888664, \"1487548800000\": 0.1349040621, \"1277683200000\": -0.3901839168, \"1210032000000\": -0.2015476016, \"1355875200000\": -0.3994768654, \"1265587200000\": -0.3028281156, \"1314144000000\": -0.3055231462, \"1410307200000\": -0.2211827306, \"1390435200000\": -0.3232285618, \"1444780800000\": 0.0760724155, \"1454371200000\": -0.043256498, \"1248912000000\": -0.2317012862, \"1304380800000\": -0.226894342, \"1359504000000\": -0.2999056568, \"1469750400000\": 0.0759617652, \"1460073600000\": 0.0476561611, \"1322006400000\": -0.374075807, \"1443139200000\": -0.0200426845, \"1451520000000\": 0.2406306521, \"1309392000000\": -0.2722150045, \"1429660800000\": 0.4265582598, \"1405641600000\": -0.3283364105, \"1221782400000\": -0.6128203363, \"1478044800000\": 0.1247359523, \"1343779200000\": -0.398176362, \"1248825600000\": -0.2516948762, \"1418083200000\": -0.0683085159, \"1479254400000\": 0.1482864644, \"1447632000000\": 0.2805474795, \"1372032000000\": -0.4007171773, \"1283299200000\": -0.3362878717, \"1415664000000\": -0.1983730746, \"1304640000000\": -0.2490727517, \"1331251200000\": -0.3532127719, \"1510790400000\": 0.3014991889, \"1260403200000\": -0.209725176, \"1401840000000\": -0.3538101477, \"1494892800000\": 0.1149573853, \"1482710400000\": 0.1153558087, \"1318291200000\": -0.3857281893, \"1277424000000\": -0.3844952968, \"1256601600000\": -0.2811568792, \"1349740800000\": -0.4058381958, \"1378684800000\": -0.300690665, \"1437350400000\": 0.3286115778, \"1235606400000\": -0.5411862687, \"1439942400000\": 0.278893114, \"1438128000000\": 0.292968659, \"1463616000000\": -0.007194121, \"1245369600000\": -0.3525888693, \"1401235200000\": -0.3410490977, \"1236297600000\": -0.5200860275, \"1499904000000\": 0.2036793034, \"1244419200000\": -0.3778604713, \"1314748800000\": -0.2994522331, \"1238371200000\": -0.4752656939, \"1512086400000\": 0.2490295563, \"1469145600000\": 0.0986607652, \"1269820800000\": -0.2531082524, \"1467936000000\": 0.0802236427, \"1422576000000\": -0.0013141102, \"1334793600000\": -0.3631416388, \"1449446400000\": 0.2349779216, \"1467072000000\": 0.0464384175, \"1359936000000\": -0.2846186275, \"1278460800000\": -0.4192437329, \"1222214400000\": -0.5947246351, \"1370304000000\": -0.2848278035, \"1465171200000\": 0.0458777629, \"1482364800000\": 0.1242073787, \"1299456000000\": -0.203810464, \"1273449600000\": -0.359748278, \"1256256000000\": -0.2567940392, \"1476748800000\": 0.1247469312, \"1416787200000\": -0.1659131754, \"1315180800000\": -0.3286988331, \"1279670400000\": -0.3863618115, \"1498176000000\": 0.160772769, \"1294876800000\": -0.2501969555, \"1396915200000\": -0.3181859854, \"1309910400000\": -0.2507857845, \"1355702400000\": -0.4002487445, \"1436486400000\": 0.2568510108, \"1363132800000\": -0.3251216502, \"1225411200000\": -0.6846690289, \"1439424000000\": 0.339033044, \"1290556800000\": -0.2432238142, \"1376611200000\": -0.3407744666, \"1339459200000\": -0.3662669899, \"1466380800000\": 0.0267280862, \"1378339200000\": -0.323864195, \"1361232000000\": -0.2943865675, \"1261353600000\": -0.2529149854, \"1442880000000\": 0.0163056363, \"1229558400000\": -0.5949106739, \"1199404800000\": 0.0352278736, \"1425513600000\": 0.0686404794, \"1416268800000\": -0.1975451254, \"1252540800000\": -0.322865196, \"1386201600000\": -0.2865752004, \"1323907200000\": -0.4480851009, \"1374451200000\": -0.3740034164, \"1345766400000\": -0.4091525634, \"1279065600000\": -0.4115474129, \"1409702400000\": -0.2319514006, \"1305158400000\": -0.2520891517, \"1245801600000\": -0.3416511593, \"1344297600000\": -0.381323492, \"1338940800000\": -0.364676835, \"1322697600000\": -0.3764172783, \"1343088000000\": -0.3940274766, \"1503014400000\": 0.2215769637, \"1392768000000\": -0.2901227667, \"1479427200000\": 0.1409446544, \"1508284800000\": 0.2639811388, \"1433203200000\": 0.6817102339, \"1469059200000\": 0.1071602352, \"1203552000000\": -0.0598264327, \"1425254400000\": 0.0837094958, \"1460678400000\": 0.0793524127, \"1286496000000\": -0.2998939858, \"1251158400000\": -0.3338796114, \"1232323200000\": -0.5884722255, \"1235692800000\": -0.5556002675, \"1337040000000\": -0.3499413658, \"1348617600000\": -0.4405871958, \"1236124800000\": -0.5226706475, \"1321488000000\": -0.355097237, \"1288137600000\": -0.194049223, \"1270080000000\": -0.2452834724, \"1462406400000\": 0.0610979978, \"1373414400000\": -0.3802056075, \"1371686400000\": -0.3548095173, \"1486944000000\": 0.1268943321, \"1212451200000\": -0.2866196021, \"1237852800000\": -0.4816820723, \"1342569600000\": -0.3866028566, \"1358121600000\": -0.3410274261, \"1274054400000\": -0.401169358, \"1219881600000\": -0.5790483476, \"1287532800000\": -0.2042239358, \"1397779200000\": -0.3187911525, \"1336003200000\": -0.3423569153, \"1237334400000\": -0.5089753123, \"1261612800000\": -0.2413872054, \"1322524800000\": -0.3671315183, \"1405555200000\": -0.3309517205, \"1396483200000\": -0.3400169854, \"1350345600000\": -0.4108134894, \"1479945600000\": 0.1613213631, \"1328486400000\": -0.408212716, \"1456444800000\": -0.0542216964, \"1488412800000\": 0.1356139812, \"1425340800000\": 0.0625657458, \"1346112000000\": -0.4184028434, \"1394496000000\": -0.3546215918, \"1256774400000\": -0.2935021392, \"1349913600000\": -0.4102734294, \"1340582400000\": -0.3831473799, \"1231113600000\": -0.6237299649, \"1271376000000\": -0.2470980878, \"1467158400000\": 0.0505295075, \"1480377600000\": 0.1781788731, \"1287014400000\": -0.2563871258, \"1331510400000\": -0.3528994419, \"1395014400000\": -0.3386091518, \"1226966400000\": -0.6490143135, \"1302739200000\": -0.1896384842, \"1242864000000\": -0.415259301, \"1254096000000\": -0.3569175784, \"1475193600000\": 0.0995667194, \"1269302400000\": -0.2686917524, \"1372377600000\": -0.3967044375, \"1404172800000\": -0.3323931635, \"1408579200000\": -0.2500333783, \"1377734400000\": -0.3268783702, \"1499990400000\": 0.2083731034, \"1425427200000\": 0.0726855358, \"1261440000000\": -0.2754996354, \"1354665600000\": -0.4477967945, \"1483574400000\": 0.1308589672, \"1225843200000\": -0.6857781589, \"1316563200000\": -0.3208938482, \"1343692800000\": -0.405671862, \"1389139200000\": -0.3309200456, \"1372982400000\": -0.3809508675, \"1383091200000\": -0.325895221, \"1327881600000\": -0.4209553771, \"1460505600000\": 0.0734154927, \"1358899200000\": -0.3190072368, \"1478649600000\": 0.1256354044, \"1338508800000\": -0.343721255, \"1211760000000\": -0.3031059528, \"1235952000000\": -0.5488175475, \"1436140800000\": 0.2392243008, \"1244592000000\": -0.3732537713, \"1280188800000\": -0.3727109815, \"1275609600000\": -0.3853638594, \"1286755200000\": -0.2750296058, \"1410739200000\": -0.2151608806, \"1419206400000\": -0.0289098071, \"1226016000000\": -0.6902107689, \"1432166400000\": 0.534032476, \"1436313600000\": 0.1182450708, \"1302652800000\": -0.1860794342, \"1421107200000\": -0.0037426367, \"1340841600000\": -0.3890413945, \"1480896000000\": 0.1536398276, \"1440633600000\": 0.0101759702, \"1218499200000\": -0.5536090835, \"1285632000000\": -0.3357815492, \"1504224000000\": 0.2534471958, \"1505779200000\": 0.2602160578, \"1472083200000\": 0.111383658, \"1463011200000\": 0.003558849, \"1316476800000\": -0.3425814382, \"1220918400000\": -0.6138176363, \"1489536000000\": 0.1506564163, \"1317168000000\": -0.3645610593, \"1446076800000\": 0.1375901814, \"1240358400000\": -0.4603597082, \"1361491200000\": -0.3127694575, \"1339718400000\": -0.3571074799, \"1417996800000\": -0.0240148859, \"1434585600000\": 0.6080034979, \"1302220800000\": -0.1900436842, \"1206403200000\": -0.2568967812, \"1268956800000\": -0.2638111434, \"1338854400000\": -0.363340735, \"1217894400000\": -0.4690554012, \"1481241600000\": 0.1663577576, \"1368748800000\": -0.2928647988, \"1252972800000\": -0.288681486, \"1249516800000\": -0.2313275263, \"1351123200000\": -0.4144931558, \"1432684800000\": 0.651174666, \"1302480000000\": -0.1933042742, \"1466726400000\": 0.0159325475, \"1331164800000\": -0.3623203919, \"1421798400000\": 0.0180640306, \"1248307200000\": -0.2299097762, \"1395619200000\": -0.3326850318, \"1283385600000\": -0.3263888017, \"1308700800000\": -0.3055636097, \"1387238400000\": -0.3138808881, \"1361404800000\": -0.3097196775, \"1248048000000\": -0.2402027263, \"1235347200000\": -0.4933751287, \"1265241600000\": -0.2886824756, \"1281657600000\": -0.3489357308, \"1305244800000\": -0.2465754317, \"1490313600000\": 0.1599820956, \"1280275200000\": -0.3579967915, \"1368576000000\": -0.3187399288, \"1358380800000\": -0.3411800261, \"1392336000000\": -0.2963093267, \"1303084800000\": -0.1882869742, \"1249344000000\": -0.2077875062, \"1346284800000\": -0.4294133634, \"1219968000000\": -0.5638890776, \"1249948800000\": -0.2486394763, \"1390521600000\": -0.3152254318, \"1317254400000\": -0.3735774493, \"1353888000000\": -0.4499688656, \"1269993600000\": -0.2557546124, \"1295308800000\": -0.2940727167, \"1306368000000\": -0.2845002144, \"1268179200000\": -0.2700581934, \"1452729600000\": 0.043111289, \"1443571200000\": -0.0092978445, \"1232496000000\": -0.5850154155, \"1419465600000\": -0.0372518871, \"1316044800000\": -0.3336481982, \"1278633600000\": -0.4074797329, \"1231977600000\": -0.5974068455, \"1489104000000\": 0.1429698363, \"1386806400000\": -0.3003932481, \"1392681600000\": -0.2970870767, \"1358208000000\": -0.3336381361, \"1308268800000\": -0.3114950897, \"1242259200000\": -0.414884831, \"1412812800000\": -0.1986160469, \"1264723200000\": -0.2909644614, \"1350259200000\": -0.4136029194, \"1427414400000\": 0.2212759947, \"1356652800000\": -0.3706482354, \"1277078400000\": -0.3743764568, \"1393459200000\": -0.3406707669, \"1353628800000\": -0.4441301656, \"1445904000000\": 0.162557903, \"1504569600000\": 0.2606068058, \"1367971200000\": -0.3133035507, \"1426032000000\": 0.0779184894, \"1459900800000\": 0.0734401711, \"1488931200000\": 0.1463454463, \"1483056000000\": 0.1070144687, \"1448409600000\": 0.2938438395, \"1447372800000\": 0.2689430295, \"1425859200000\": 0.0747462194, \"1347408000000\": -0.3983243371, \"1508976000000\": 0.2901817688, \"1495411200000\": 0.0970446796, \"1405987200000\": -0.3207136921, \"1228176000000\": -0.6415782874, \"1298851200000\": -0.2275365509, \"1373241600000\": -0.4015338375, \"1440979200000\": 0.0395884502, \"1204761600000\": -0.0896742902, \"1349827200000\": -0.4031944494, \"1252022400000\": -0.341618776, \"1463097600000\": -7.8261e-05, \"1386028800000\": -0.2966302104, \"1243209600000\": -0.417387051, \"1508457600000\": 0.2609075788, \"1260489600000\": -0.210207976, \"1242777600000\": -0.403301681, \"1427328000000\": 0.2089253247, \"1230681600000\": -0.6389558749, \"1397692800000\": -0.3188066225, \"1432857600000\": 0.560212546, \"1304985600000\": -0.2402311217, \"1394668800000\": -0.3449681918, \"1432598400000\": 0.643911586, \"1348531200000\": -0.4314470958, \"1269907200000\": -0.2513761524, \"1497312000000\": 0.1345140847, \"1229385600000\": -0.6058729439, \"1367884800000\": -0.3166361807, \"1434499200000\": 0.6755083279, \"1272585600000\": -0.3102196894, \"1199836800000\": 0.0615231636, \"1229040000000\": -0.6175199339, \"1232582400000\": -0.5780558055, \"1426636800000\": 0.1641759594, \"1351036800000\": -0.4088827958, \"1352419200000\": -0.4297442299, \"1207612800000\": -0.2762954169, \"1453248000000\": 0.040012869, \"1421020800000\": -0.0088543367, \"1209081600000\": -0.2611099081, \"1487808000000\": 0.1400250312, \"1455494400000\": -0.0449591624, \"1294704000000\": -0.2548493055, \"1329782400000\": -0.3865171449, \"1310688000000\": -0.2379839715, \"1513814400000\": 0.2450007709, \"1384387200000\": -0.3519317764, \"1353456000000\": -0.4420542056, \"1365379200000\": -0.343829849, \"1372723200000\": -0.3810605575, \"1396396800000\": -0.3391716754, \"1290038400000\": -0.2530367542, \"1453939200000\": -0.093220078, \"1262563200000\": -0.2230205368, \"1389830400000\": -0.3376235056, \"1467331200000\": 0.0536192975, \"1488326400000\": 0.1417247912, \"1421193600000\": -0.0064384567, \"1288828800000\": -0.1752648047, \"1221004800000\": -0.6101007763, \"1352937600000\": -0.4420767599, \"1486512000000\": 0.1086204821, \"1354233600000\": -0.4636837456, \"1431388800000\": 0.4616167183, \"1214870400000\": -0.4758545497, \"1303171200000\": -0.202250222, \"1440720000000\": 0.0592522502, \"1324512000000\": -0.4465990009, \"1231804800000\": -0.6177029555, \"1239321600000\": -0.4560391339, \"1481673600000\": 0.1271242776, \"1481760000000\": 0.1189497576, \"1501632000000\": 0.2369892565, \"1424995200000\": 0.0702528558, \"1285804800000\": -0.3265009158, \"1512000000000\": 0.2416021563, \"1471824000000\": 0.114833948, \"1205452800000\": -0.1927023702, \"1438560000000\": 0.240999479, \"1461542400000\": 0.0217289678, \"1227830400000\": -0.6534978274, \"1473206400000\": 0.1238919579, \"1295568000000\": -0.2936118267, \"1331856000000\": -0.3608502908, \"1387497600000\": -0.3322509281, \"1363219200000\": -0.3219012002, \"1508716800000\": 0.2677107788, \"1280966400000\": -0.3539431908, \"1251936000000\": -0.348802526, \"1365984000000\": -0.3525611862, \"1408060800000\": -0.2505733517, \"1214265600000\": -0.4513607516, \"1505260800000\": 0.2621155278, \"1365465600000\": -0.339153009, \"1230595200000\": -0.6343567249, \"1463702400000\": 0.000583309, \"1486080000000\": 0.0957243562, \"1330041600000\": -0.3642071849, \"1301443200000\": -0.2125310506, \"1289174400000\": -0.1605365247, \"1389916800000\": -0.3440024056, \"1415232000000\": -0.1939584246, \"1430092800000\": 0.4365193798, \"1327968000000\": -0.419670316, \"1239753600000\": -0.4336399182, \"1340150400000\": -0.3592870899, \"1252627200000\": -0.303608336, \"1449619200000\": 0.2107355616, \"1293494400000\": -0.2763816502, \"1262822400000\": -0.2373493468, \"1334016000000\": -0.3827615507, \"1246838400000\": -0.2856601566, \"1291075200000\": -0.2552608842, \"1437091200000\": 0.3180174978, \"1263168000000\": -0.2330340468, \"1305676800000\": -0.2434498244, \"1246406400000\": -0.3102954366, \"1279843200000\": -0.3755800915, \"1365724800000\": -0.3456474062, \"1276214400000\": -0.3779454394, \"1298246400000\": -0.2243838809, \"1227744000000\": -0.6441376274, \"1388448000000\": -0.312685055, \"1203033600000\": -0.0863349377, \"1289779200000\": -0.2152127947, \"1279152000000\": -0.4230688929, \"1478217600000\": 0.1285927023, \"1200960000000\": -0.1101135323, \"1326412800000\": -0.4362011071, \"1329177600000\": -0.3978847949, \"1464220800000\": -0.0003037971, \"1497484800000\": 0.1340040947, \"1383523200000\": -0.330655961, \"1251676800000\": -0.3984294014, \"1248739200000\": -0.2123288862, \"1324857600000\": -0.448136089, \"1314576000000\": -0.2955662531, \"1357689600000\": -0.3558539561, \"1379894400000\": -0.2997206753, \"1351641600000\": -0.4231387458, \"1296172800000\": -0.2874220646, \"1273708800000\": -0.357666368, \"1473033600000\": 0.1131402179, \"1247184000000\": -0.2823862963, \"1224115200000\": -0.6664325309, \"1366761600000\": -0.3288481107, \"1344988800000\": -0.3924337155, \"1445817600000\": 0.157198213, \"1438041600000\": 0.244904439, \"1383264000000\": -0.331904781, \"1396310400000\": -0.3417164954, \"1358985600000\": -0.3284110068, \"1497571200000\": 0.1345581947, \"1436745600000\": 0.3094851908, \"1347580800000\": -0.4017269771, \"1268265600000\": -0.2719192834, \"1413936000000\": -0.2177759668, \"1476144000000\": 0.1197951012, \"1417132800000\": -0.1232298454, \"1470873600000\": 0.0867666783, \"1407715200000\": -0.2530416617, \"1334102400000\": -0.3827983807, \"1428451200000\": 0.3400471439, \"1483488000000\": 0.1349652772, \"1314921600000\": -0.3131430231, \"1233705600000\": -0.5526875913, \"1408320000000\": -0.2443723883, \"1503619200000\": 0.2263219037, \"1394755200000\": -0.3476615918, \"1462924800000\": 0.000947679, \"1319500800000\": -0.3689086193, \"1250208000000\": -0.2904588163, \"1205280000000\": -0.1544206002, \"1333670400000\": -0.3855588307, \"1513641600000\": 0.2470066709, \"1413158400000\": -0.2053980569, \"1203638400000\": -0.0930580227, \"1235088000000\": -0.5090789987, \"1447804800000\": 0.2503592795, \"1323302400000\": -0.3960832183, \"1510876800000\": 0.2828658889, \"1477872000000\": 0.1288126823, \"1423440000000\": -0.0082434102, \"1471564800000\": 0.129615238, \"1479686400000\": 0.1455091431, \"1251072000000\": -0.3086628214, \"1273104000000\": -0.347323528, \"1452470400000\": 0.024889809, \"1206489600000\": -0.2547912312, \"1404345600000\": -0.3252301635, \"1419811200000\": -0.0198140471, \"1376956800000\": -0.3396291366, \"1246924800000\": -0.2953911666, \"1387929600000\": -0.319780555, \"1414368000000\": -0.2276501668, \"1264464000000\": -0.2846395914, \"1508112000000\": 0.2638945209, \"1376006400000\": -0.3418110266, \"1287446400000\": -0.2189506058, \"1506038400000\": 0.2471462778, \"1217203200000\": -0.4102296447, \"1492560000000\": 0.1474524445, \"1446422400000\": 0.1222790314, \"1459468800000\": 0.0466973811, \"1218585600000\": -0.5482463535, \"1470960000000\": 0.1060996583, \"1228348800000\": -0.6187258474, \"1259020800000\": -0.2208557054, \"1298937600000\": -0.2215281209, \"1295395200000\": -0.2758420667, \"1304899200000\": -0.2456102817, \"1206662400000\": -0.2612426012, \"1458604800000\": 0.0461546425, \"1477958400000\": 0.1365503823, \"1301616000000\": -0.2078481442, \"1449187200000\": 0.2301483516, \"1276819200000\": -0.3974784294, \"1316390400000\": -0.3460119882, \"1420588800000\": 0.0170290733, \"1366070400000\": -0.3490212862, \"1495497600000\": 0.0888622396, \"1394064000000\": -0.3315427369, \"1239580800000\": -0.4426363382, \"1282608000000\": -0.3355311369, \"1356566400000\": -0.3786367754, \"1442448000000\": -0.0341535937, \"1456099200000\": 0.0211508976, \"1291248000000\": -0.2511201021, \"1217980800000\": -0.4653581712, \"1311811200000\": -0.2753002723, \"1456704000000\": -0.0958817564, \"1238112000000\": -0.4723995539, \"1458172800000\": -0.0158637875, \"1313452800000\": -0.2816252562, \"1345593600000\": -0.4021650434, \"1228089600000\": -0.6436014274, \"1481587200000\": 0.1343057776, \"1306108800000\": -0.2726204144, \"1484265600000\": 0.0932864672, \"1508889600000\": 0.2819964188, \"1395100800000\": -0.3392192018, \"1237420800000\": -0.4964789423, \"1325808000000\": -0.465234159, \"1232064000000\": -0.5901432755, \"1504051200000\": 0.2473468858, \"1416873600000\": -0.1537497654, \"1489017600000\": 0.1362905163, \"1261094400000\": -0.2545428654, \"1501027200000\": 0.2267203929, \"1244764800000\": -0.3879056093, \"1414108800000\": -0.2248023768, \"1261699200000\": -0.2435816254, \"1315267200000\": -0.3338746131, \"1399852800000\": -0.3389896809, \"1270166400000\": -0.2400915224, \"1273190400000\": -0.362282628, \"1323820800000\": -0.4325628109, \"1306195200000\": -0.2715971944, \"1493251200000\": 0.1331142867, \"1328140800000\": -0.414450566, \"1308787200000\": -0.2932983997, \"1233532800000\": -0.5742077813, \"1496188800000\": 0.0980259796, \"1278028800000\": -0.4339654368, \"1307404800000\": -0.2818263317, \"1509667200000\": 0.2661916856, \"1338422400000\": -0.344150935, \"1217548800000\": -0.4350257312, \"1275523200000\": -0.3921199594, \"1418256000000\": -0.0371113159, \"1259712000000\": -0.1995474554, \"1264032000000\": -0.2439830214, \"1399420800000\": -0.3519830707, \"1362528000000\": -0.2879781946, \"1219795200000\": -0.5824160276, \"1394409600000\": -0.3558699569, \"1430697600000\": 0.4281238483, \"1357862400000\": -0.3680002161, \"1397174400000\": -0.3125721525, \"1438819200000\": 0.249415349, \"1509580800000\": 0.2749807356, \"1326672000000\": -0.4511445771, \"1461628800000\": 0.0321125178, \"1493942400000\": 0.1168222253, \"1452211200000\": 0.091040379, \"1435708800000\": 0.3511806408, \"1413504000000\": -0.2134528969, \"1390262400000\": -0.3443070918, \"1324598400000\": -0.442595739, \"1325721600000\": -0.468726639, \"1473120000000\": 0.1253701179, \"1393977600000\": -0.3343076969, \"1312934400000\": -0.3062701723, \"1290643200000\": -0.2312052142, \"1315440000000\": -0.3247684182, \"1206057600000\": -0.2263828612, \"1296518400000\": -0.2785504546, \"1513555200000\": 0.2374727709, \"1364774400000\": -0.334705679, \"1376524800000\": -0.3328333266, \"1492041600000\": 0.1773711245, \"1317081600000\": -0.3560033393, \"1459123200000\": 0.0321598511, \"1445990400000\": 0.132150593, \"1350604800000\": -0.4010570894, \"1360022400000\": -0.2795520075, \"1452124800000\": 0.0676247221, \"1470787200000\": 0.0918526483, \"1259280000000\": -0.2559169554, \"1423612800000\": 0.0174591798, \"1262044800000\": -0.2281415554, \"1367452800000\": -0.3408955307, \"1199232000000\": 0.0093171436, \"1319155200000\": -0.3985325693, \"1290470400000\": -0.2603495242, \"1329955200000\": -0.3737973349, \"1320105600000\": -0.3491766371, \"1427155200000\": 0.2114770947, \"1416182400000\": -0.1941339046, \"1211846400000\": -0.2933780128, \"1219708800000\": -0.5870670076, \"1488758400000\": 0.1500410812, \"1322784000000\": -0.3836486583, \"1396569600000\": -0.3333042754, \"1267401600000\": -0.2624397796, \"1311292800000\": -0.2567130215, \"1271289600000\": -0.2383118278, \"1511481600000\": 0.2591792389, \"1393804800000\": -0.3259367369, \"1377216000000\": -0.3418685602, \"1260144000000\": -0.189879476, \"1503360000000\": 0.2244600237, \"1201651200000\": -0.1029761977, \"1352160000000\": -0.4145572558, \"1207872000000\": -0.2842561969, \"1435276800000\": 0.4017993479, \"1404777600000\": -0.3242924405, \"1429056000000\": 0.3432077239, \"1331596800000\": -0.3460629908, \"1491436800000\": 0.1699245445, \"1503878400000\": 0.2462918637, \"1461715200000\": 0.0298131278, \"1319587200000\": -0.3631477293, \"1393286400000\": -0.3373905069, \"1265673600000\": -0.2982174656, \"1330992000000\": -0.3674809419, \"1352246400000\": -0.4163578299, \"1501113600000\": 0.2228389929, \"1263859200000\": -0.2194947914, \"1318896000000\": -0.3752779493, \"1478736000000\": 0.1378845144, \"1362096000000\": -0.2851643246, \"1397088000000\": -0.3118103425, \"1399248000000\": -0.3448282907, \"1208822400000\": -0.3805429681, \"1384214400000\": -0.3459732564, \"1311206400000\": -0.2572823815, \"1344384000000\": -0.3812300555, \"1410998400000\": -0.2288034082, \"1205193600000\": -0.1301423802, \"1230163200000\": -0.6309288649, \"1395360000000\": -0.3390982318, \"1400803200000\": -0.3484205177, \"1256083200000\": -0.2652588817, \"1369267200000\": -0.2835067288, \"1238544000000\": -0.4636015139, \"1476835200000\": 0.1221272312, \"1281484800000\": -0.3508487708, \"1474243200000\": 0.0977079494, \"1219104000000\": -0.5767092535, \"1474416000000\": 0.0977845994, \"1398729600000\": -0.3497151007, \"1244505600000\": -0.3789106013, \"1310601600000\": -0.2407204515, \"1473811200000\": 0.0862710079, \"1236816000000\": -0.5363008275, \"1199318400000\": 0.0204373736, \"1429747200000\": 0.4330227398, \"1327017600000\": -0.4141447571, \"1497830400000\": 0.1436661847, \"1312329600000\": -0.2770949823, \"1467590400000\": 0.0740368875, \"1388966400000\": -0.334909265, \"1456272000000\": 0.0146760076, \"1458518400000\": 0.0532046725, \"1513123200000\": 0.2572995709, \"1259193600000\": -0.2318229354, \"1407974400000\": -0.2611774417, \"1435104000000\": 0.5782524779, \"1392595200000\": -0.2877454367, \"1358294400000\": -0.3361045961, \"1435536000000\": 0.3330186979, \"1280448000000\": -0.3570154515, \"1494201600000\": 0.1035898253, \"1447286400000\": 0.2855362195, \"1405382400000\": -0.3246524205, \"1489363200000\": 0.1516677363, \"1305590400000\": -0.2499395817, \"1245628800000\": -0.3504616193, \"1399507200000\": -0.3511799307, \"1387411200000\": -0.3198393581, \"1318809600000\": -0.3551302193, \"1200009600000\": 0.0754132236, \"1490140800000\": 0.1456155256, \"1405468800000\": -0.3278936605, \"1334707200000\": -0.3620994488, \"1401148800000\": -0.3472673877, \"1418342400000\": -0.0295519859, \"1501718400000\": 0.2236164865, \"1306886400000\": -0.2837460617, \"1505347200000\": 0.2585558478, \"1358812800000\": -0.3232869068, \"1220486400000\": -0.5841145076, \"1468972800000\": 0.1001465727, \"1302048000000\": -0.2010855942, \"1363564800000\": -0.3315661202, \"1340928000000\": -0.3780655845, \"1476921600000\": 0.1240493712, \"1207094400000\": -0.3605533569, \"1283990400000\": -0.3252720617, \"1504742400000\": 0.2528966758, \"1311120000000\": -0.2487402715, \"1361836800000\": -0.3133913546, \"1207699200000\": -0.3110180169, \"1309996800000\": -0.2519630845, \"1477353600000\": 0.1390071023, \"1482451200000\": 0.1124463487, \"1292284800000\": -0.2244141321, \"1386892800000\": -0.2989243981, \"1366329600000\": -0.3263413862, \"1260921600000\": -0.213759886, \"1431302400000\": 0.4357218683, \"1292976000000\": -0.2345435102, \"1409270400000\": -0.2577182983, \"1464134400000\": -0.0029199471, \"1362614400000\": -0.2975952346, \"1464825600000\": 0.0412801529, \"1444953600000\": 0.127038223, \"1355443200000\": -0.4031105545, \"1329696000000\": -0.3926849849, \"1496966400000\": 0.1321015547, \"1368403200000\": -0.3126004088, \"1470355200000\": 0.0768539683, \"1496361600000\": 0.0883059296, \"1410912000000\": -0.2336086082, \"1243814400000\": -0.3969729613, \"1300147200000\": -0.229543314, \"1253750400000\": -0.3311127184, \"1291161600000\": -0.2551263842, \"1313625600000\": -0.2995591862, \"1248220800000\": -0.2406038763, \"1297641600000\": -0.2403588746, \"1263772800000\": -0.2220678414, \"1399593600000\": -0.3545582309, \"1205712000000\": -0.2347513502, \"1231372800000\": -0.6182953449, \"1289433600000\": -0.1675416447, \"1269561600000\": -0.2695732424, \"1359676800000\": -0.2861149168, \"1229904000000\": -0.5983082639, \"1294790400000\": -0.2482563855, \"1512345600000\": 0.2484531763, \"1455840000000\": -0.0051146324, \"1250726400000\": -0.3299192714, \"1375142400000\": -0.3766494868, \"1499126400000\": 0.1847799434, \"1264377600000\": -0.2641853614, \"1324252800000\": -0.4336896709, \"1341792000000\": -0.3828571945, \"1448236800000\": 0.2726985995, \"1458691200000\": 0.0568764625, \"1502928000000\": 0.2235782737, \"1227225600000\": -0.6332735435, \"1502323200000\": 0.2169354365, \"1467244800000\": 0.0542649675, \"1449100800000\": 0.2536212516, \"1431907200000\": 0.425944856, \"1245196800000\": -0.3653576093, \"1393372800000\": -0.3348459669, \"1228262400000\": -0.6235317174, \"1242086400000\": -0.415203221, \"1464566400000\": -0.0074923271, \"1439164800000\": 0.337352279, \"1379289600000\": -0.301861405, \"1273017600000\": -0.313232598, \"1402444800000\": -0.3417829302, \"1500336000000\": 0.1952276329, \"1361318400000\": -0.2887571275, \"1401926400000\": -0.3478856777, \"1282780800000\": -0.3482846269, \"1301356800000\": -0.2078012906, \"1241395200000\": -0.4322872832, \"1292457600000\": -0.2321523202, \"1438300800000\": 0.250328119, \"1330300800000\": -0.3634996149, \"1224720000000\": -0.6511234909, \"1352678400000\": -0.4261468799, \"1239667200000\": -0.4364122182, \"1201564800000\": -0.0985993323, \"1409097600000\": -0.2599300883, \"1447718400000\": 0.2764671895, \"1484611200000\": 0.0814704962, \"1398384000000\": -0.3437085707, \"1410825600000\": -0.2374177482, \"1493856000000\": 0.1333061767, \"1370476800000\": -0.2926022735, \"1486684800000\": 0.1173463221, \"1346025600000\": -0.4220016134, \"1502409600000\": 0.1931151565, \"1387152000000\": -0.3110034681, \"1287619200000\": -0.205608643, \"1406851200000\": -0.2720728721, \"1501200000000\": 0.2256792329, \"1302825600000\": -0.1874208442, \"1486425600000\": 0.1021898221, \"1214352000000\": -0.4243786616, \"1268092800000\": -0.2640719634, \"1213660800000\": -0.4661896816, \"1204070400000\": -0.1062839027, \"1477267200000\": 0.1366844723, \"1366675200000\": -0.3455373962, \"1235001600000\": -0.5199023687, \"1262908800000\": -0.2303400268, \"1454457600000\": -0.044116418, \"1317340800000\": -0.3746949093, \"1441843200000\": 0.0308893463, \"1330473600000\": -0.3677063119, \"1404691200000\": -0.3268120405, \"1261008000000\": -0.234566576, \"1430784000000\": 0.3822384483, \"1280102400000\": -0.3703539115, \"1221091200000\": -0.6163815763, \"1231459200000\": -0.6100137955, \"1257206400000\": -0.2521987192, \"1337817600000\": -0.3554825958, \"1503273600000\": 0.2263626237, \"1304467200000\": -0.2482751117, \"1442275200000\": -0.0752437937, \"1435017600000\": 0.5487254979, \"1210204800000\": -0.2199718416, \"1435795200000\": 0.2900869608, \"1395964800000\": -0.3479475654, \"1205798400000\": -0.2888797702, \"1291766400000\": -0.2502477421, \"1332806400000\": -0.3790600207, \"1511395200000\": 0.2595536889, \"1343001600000\": -0.3969823266, \"1437523200000\": 0.3470787678, \"1428019200000\": 0.2993421139, \"1249430400000\": -0.2186227562, \"1258588800000\": -0.2026322128, \"1386633600000\": -0.2896748881, \"1217289600000\": -0.4220600512, \"1202169600000\": -0.0680645377, \"1287964800000\": -0.174187783, \"1244073600000\": -0.3729837113, \"1271116800000\": -0.2423648878, \"1511136000000\": 0.2867837889, \"1285545600000\": -0.3292460392, \"1314057600000\": -0.3020210462, \"1403481600000\": -0.3478357035, \"1450137600000\": 0.2381466015, \"1423008000000\": 0.0037698698, \"1235520000000\": -0.5145255087, \"1297382400000\": -0.2619184246, \"1294272000000\": -0.2432823655, \"1344902400000\": -0.3848292555, \"1492646400000\": 0.1499132067, \"1451001600000\": 0.2799546421, \"1225324800000\": -0.6797657989, \"1421884800000\": 0.0262219806, \"1243900800000\": -0.3951191813, \"1395187200000\": -0.3452434318, \"1402963200000\": -0.3372091502, \"1494374400000\": 0.0929156653, \"1381363200000\": -0.3130197553, \"1385510400000\": -0.3038959804, \"1381881600000\": -0.3168104861, \"1329868800000\": -0.3770411849, \"1334534400000\": -0.3674623288, \"1353024000000\": -0.4464894499, \"1300060800000\": -0.218127044, \"1274918400000\": -0.3631277507, \"1481068800000\": 0.1622126076, \"1255996800000\": -0.2632985417, \"1299542400000\": -0.202881184, \"1221609600000\": -0.6386674563, \"1348012800000\": -0.4186971758, \"1296432000000\": -0.2802200746, \"1341964800000\": -0.3812692166, \"1203292800000\": -0.0642485277, \"1453075200000\": 0.017931449, \"1421712000000\": -0.0165959994, \"1290729600000\": -0.2386857742, \"1484524800000\": 0.0740183672, \"1249862400000\": -0.2525547763, \"1291593600000\": -0.2512860721, \"1398211200000\": -0.3308791107, \"1371772800000\": -0.3560684573, \"1442361600000\": -0.0149379237, \"1384473600000\": -0.3363293864, \"1374537600000\": -0.3518081164, \"1431648000000\": 0.4211193383, \"1204848000000\": -0.1037639502, \"1507507200000\": 0.2639342109, \"1344816000000\": -0.3880428555, \"1372896000000\": -0.3826773875, \"1368489600000\": -0.3217881488, \"1444348800000\": 0.0442981255, \"1210809600000\": -0.2096166816, \"1407456000000\": -0.2640199317, \"1417737600000\": -0.0510165259, \"1250640000000\": -0.3576962563, \"1330560000000\": -0.3671721519, \"1462752000000\": -0.0005639222, \"1257465600000\": -0.2447365128, \"1448841600000\": 0.2060707616, \"1307577600000\": -0.2950468817, \"1488153600000\": 0.1321697812, \"1457049600000\": -0.0397215964, \"1293580800000\": -0.2714816802, \"1406246400000\": -0.3073377921, \"1376438400000\": -0.3221017166, \"1418688000000\": 0.0043631829, \"1206921600000\": -0.2902271112, \"1249603200000\": -0.2499926463, \"1364169600000\": -0.299586219, \"1234742400000\": -0.4875672087, \"1403049600000\": -0.3402530102, \"1411516800000\": -0.2181251482, \"1227052800000\": -0.6247056035, \"1435881600000\": 0.2290031908, \"1208217600000\": -0.3172259869, \"1443052800000\": 0.0108248555, \"1284681600000\": -0.3406518992, \"1503532800000\": 0.2100358537, \"1417392000000\": -0.1248754554, \"1203897600000\": -0.1324292027, \"1510272000000\": 0.3057838356, \"1424131200000\": 0.0585436458, \"1371600000000\": -0.3315883073, \"1347840000000\": -0.4168035471, \"1315872000000\": -0.3361118882, \"1297814400000\": -0.2298881946, \"1438732800000\": 0.263268919, \"1510185600000\": 0.2989053356, \"1469491200000\": 0.1135629952, \"1293408000000\": -0.2625893202, \"1372291200000\": -0.4066898875, \"1494288000000\": 0.1050921353, \"1498694400000\": 0.188527249, \"1399334400000\": -0.3426350607, \"1255564800000\": -0.2951366317, \"1292544000000\": -0.2335436202, \"1279238400000\": -0.4200232329, \"1343606400000\": -0.403481692, \"1205971200000\": -0.2410144512, \"1320019200000\": -0.3491163071, \"1461024000000\": 0.0680634927, \"1404950400000\": -0.3370015705, \"1234396800000\": -0.5189252813, \"1335916800000\": -0.3445719154, \"1464652800000\": 0.0360704329, \"1350432000000\": -0.4103253794, \"1304035200000\": -0.231771712, \"1357516800000\": -0.3582516361, \"1288051200000\": -0.178195613, \"1449705600000\": 0.2093905615, \"1251417600000\": -0.3502772414, \"1482278400000\": 0.1215813587, \"1228780800000\": -0.6009378774, \"1422230400000\": 0.0347931606, \"1300838400000\": -0.2122036106, \"1253059200000\": -0.297642626, \"1335484800000\": -0.3598936454, \"1255651200000\": -0.2939331717, \"1445212800000\": 0.131204713, \"1424044800000\": 0.0476199758, \"1351728000000\": -0.4135288358, \"1316649600000\": -0.3431745882, \"1393200000000\": -0.3187617767, \"1311638400000\": -0.2790390215, \"1271030400000\": -0.2471637678, \"1362355200000\": -0.3196382146, \"1485388800000\": 0.0975741862, \"1314316800000\": -0.2837610231, \"1458259200000\": 0.0167376525, \"1363910400000\": -0.2976627702, \"1219017600000\": -0.5828599235, \"1458777600000\": 0.0372094325, \"1314230400000\": -0.2835702431, \"1232409600000\": -0.5846984355, \"1299628800000\": -0.204593444, \"1500595200000\": 0.2333385029, \"1420502400000\": 0.0188110433, \"1392249600000\": -0.3024002067, \"1201824000000\": -0.1353454377, \"1344470400000\": -0.3727963155, \"1357603200000\": -0.3576485361, \"1499299200000\": 0.2047173534, \"1474588800000\": 0.1032422094, \"1465776000000\": -0.0006338138, \"1430265600000\": 0.4280962398, \"1271808000000\": -0.2723694794, \"1248393600000\": -0.2280577462, \"1225756800000\": -0.6964555489, \"1347494400000\": -0.4057935371, \"1382054400000\": -0.3128803861, \"1221177600000\": -0.6164783063, \"1434412800000\": 0.6493179479, \"1294358400000\": -0.2401679155, \"1337299200000\": -0.3616785358, \"1331683200000\": -0.3669208808, \"1360108800000\": -0.2771493375, \"1437004800000\": 0.2523567178, \"1265328000000\": -0.3042763056, \"1372204800000\": -0.3951352073, \"1369785600000\": -0.2613495235, \"1262217600000\": -0.2142337654, \"1260748800000\": -0.205243996, \"1287360000000\": -0.2430391358, \"1472428800000\": 0.115405968, \"1322179200000\": -0.3765191383, \"1364342400000\": -0.307685909, \"1297296000000\": -0.2690330146, \"1486598400000\": 0.1151066421, \"1221523200000\": -0.6286563763, \"1224547200000\": -0.6489824509, \"1216252800000\": -0.4632203247, \"1259884800000\": -0.193500886, \"1228694400000\": -0.5913508674, \"1362700800000\": -0.3029101346, \"1358467200000\": -0.3291541161, \"1270771200000\": -0.2429314578, \"1274659200000\": -0.3617072507, \"1210291200000\": -0.2270914316, \"1406505600000\": -0.2856007721, \"1438214400000\": 0.246788369, \"1275264000000\": -0.3867671507, \"1201219200000\": -0.0375178123, \"1207008000000\": -0.3425116912, \"1352332800000\": -0.4278693499, \"1468800000000\": 0.1059830427, \"1415059200000\": -0.1949394246, \"1336521600000\": -0.3443924153, \"1335398400000\": -0.3578955888, \"1374710400000\": -0.3587469668, \"1389225600000\": -0.3349922256, \"1413763200000\": -0.2056536969, \"1208476800000\": -0.3823904081, \"1230076800000\": -0.6264504449, \"1423094400000\": -0.0033050902, \"1447113600000\": 0.2786144014, \"1459814400000\": 0.0721569911, \"1496793600000\": 0.1214970447, \"1237766400000\": -0.4832564723, \"1356307200000\": -0.3970916454, \"1259625600000\": -0.2114426154, \"1240963200000\": -0.4532213732, \"1506384000000\": 0.2367653509, \"1320278400000\": -0.3367721871, \"1474934400000\": 0.0911488894, \"1461196800000\": 0.0200323027, \"1463529600000\": -0.008144441, \"1210118400000\": -0.2433409416, \"1313712000000\": -0.3057806362, \"1330905600000\": -0.3575527619, \"1493683200000\": 0.1369559767, \"1430352000000\": 0.4269802198, \"1494979200000\": 0.1144755353, \"1332979200000\": -0.4090777807, \"1225670400000\": -0.6885284189, \"1298592000000\": -0.2387702709, \"1303430400000\": -0.200431932, \"1273536000000\": -0.374213148, \"1253664000000\": -0.3404294384, \"1288742400000\": -0.188984823, \"1441584000000\": -0.0061316098, \"1223510400000\": -0.6202922651, \"1257120000000\": -0.2628984892, \"1366243200000\": -0.3464836662, \"1411430400000\": -0.2301470182, \"1482105600000\": 0.1200927087, \"1448496000000\": 0.2828519116, \"1360281600000\": -0.2789905975, \"1275955200000\": -0.3936981494, \"1439856000000\": 0.257714984, \"1390953600000\": -0.3178811118, \"1378857600000\": -0.298538905, \"1267747200000\": -0.2775140296, \"1323129600000\": -0.3988495383, \"1342396800000\": -0.3895817766, \"1204588800000\": -0.0886386327, \"1310083200000\": -0.2506014745, \"1310342400000\": -0.2476603345, \"1226534400000\": -0.6472428635, \"1403568000000\": -0.3438086835, \"1373328000000\": -0.4027010775, \"1489968000000\": 0.1474300663, \"1386720000000\": -0.3006285181, \"1493078400000\": 0.1284617267, \"1457913600000\": -0.0299571075, \"1400198400000\": -0.3546930509, \"1333584000000\": -0.3883650607, \"1298419200000\": -0.2456211609, \"1334620800000\": -0.3758252188, \"1505174400000\": 0.2602271878, \"1330387200000\": -0.3613675219, \"1402617600000\": -0.3359065802, \"1233878400000\": -0.5415074313, \"1513209600000\": 0.2536066709, \"1326758400000\": -0.4226701271, \"1295222400000\": -0.2962991967, \"1419897600000\": -0.0264249367, \"1468368000000\": 0.1119527627, \"1341273600000\": -0.3714217745, \"1220832000000\": -0.6160650176, \"1405900800000\": -0.3289783421, \"1239148800000\": -0.4792930339, \"1498003200000\": 0.153561999, \"1258416000000\": -0.2075119328, \"1240272000000\": -0.4367520582, \"1456876800000\": -0.0279439364, \"1420761600000\": 0.0002737133, \"1328572800000\": -0.418532946, \"1389744000000\": -0.3377398756, \"1223251200000\": -0.5880029851, \"1472688000000\": 0.1136406979, \"1402358400000\": -0.3436603102, \"1247443200000\": -0.2912677163, \"1384300800000\": -0.3584922264, \"1333929600000\": -0.3906655807, \"1359417600000\": -0.2998358468, \"1453680000000\": 0.017115102, \"1343347200000\": -0.399441832, \"1401753600000\": -0.3481544377, \"1400112000000\": -0.3531006309, \"1265068800000\": -0.3058623056, \"1305763200000\": -0.2468453344, \"1463961600000\": 0.009734389, \"1253232000000\": -0.3105713284, \"1453852800000\": -0.061427938, \"1204675200000\": -0.0977133302, \"1366588800000\": -0.3258746762, \"1509926400000\": 0.2788587356, \"1461283200000\": 0.0286024027, \"1398124800000\": -0.3279699025, \"1392940800000\": -0.3060574267, \"1379030400000\": -0.299929645, \"1258502400000\": -0.2064791528, \"1385942400000\": -0.3070999604, \"1234483200000\": -0.5022538387, \"1429228800000\": 0.3789442898, \"1257811200000\": -0.2397412928, \"1222300800000\": -0.5774580051, \"1330646400000\": -0.3550230519, \"1227657600000\": -0.6492908674, \"1275436800000\": -0.3856653594, \"1498608000000\": 0.181485639, \"1272412800000\": -0.2944046494, \"1480636800000\": 0.1612199731, \"1354838400000\": -0.4341212145, \"1351555200000\": -0.4264827558, \"1368057600000\": -0.3128486407, \"1364515200000\": -0.334972379, \"1510012800000\": 0.2876894356, \"1318464000000\": -0.3576435493, \"1468281600000\": 0.1019422627, \"1500940800000\": 0.2369631729, \"1416528000000\": -0.1834714354, \"1240876800000\": -0.4723029532, \"1320364800000\": -0.3324194971, \"1347926400000\": -0.4222520671, \"1452643200000\": 0.010382129, \"1264550400000\": -0.2944053914, \"1328832000000\": -0.397765976, \"1246320000000\": -0.3270128466, \"1231200000000\": -0.6087584349, \"1414022400000\": -0.2259709468, \"1243987200000\": -0.3763338513, \"1359590400000\": -0.3006168868, \"1213920000000\": -0.4591374216, \"1237939200000\": -0.4912232823, \"1373932800000\": -0.3408423564, \"1378080000000\": -0.3241655702, \"1382918400000\": -0.332091031, \"1209945600000\": -0.2031964316, \"1446163200000\": 0.1428669014, \"1291852800000\": -0.2635369821, \"1494460800000\": 0.0914387853, \"1418947200000\": -0.0102879971, \"1239062400000\": -0.4593147739, \"1490227200000\": 0.1500834856, \"1303776000000\": -0.215899762, \"1479081600000\": 0.1458680644, \"1260230400000\": -0.200803846, \"1404864000000\": -0.3347556505, \"1263254400000\": -0.2214934068, \"1311897600000\": -0.2764926523, \"1288224000000\": -0.191501453, \"1258070400000\": -0.2333514028, \"1466553600000\": 0.0343073562, \"1213315200000\": -0.4173341621, \"1450915200000\": 0.2790954121, \"1281571200000\": -0.3581117508, \"1199923200000\": 0.0740400936, \"1386115200000\": -0.2880882604, \"1300233600000\": -0.218250834, \"1499212800000\": 0.2006475434, \"1229299200000\": -0.6118545839, \"1268870400000\": -0.2700996034, \"1273622400000\": -0.373662628, \"1505865600000\": 0.2641869078, \"1345075200000\": -0.3969449355, \"1383782400000\": -0.343584241, \"1211500800000\": -0.2735199328, \"1234828800000\": -0.5031048787, \"1202947200000\": -0.0738633677, \"1295913600000\": -0.3111531867, \"1363305600000\": -0.3204757602, \"1213747200000\": -0.4320065716, \"1408665600000\": -0.2457541383, \"1381190400000\": -0.3125772953, \"1251331200000\": -0.3256418114, \"1452556800000\": 0.033094639, \"1457481600000\": -0.0440645164, \"1247529600000\": -0.2729057163, \"1251763200000\": -0.3950583214, \"1510531200000\": 0.3163513856, \"1434326400000\": 0.7008981279, \"1403740800000\": -0.3402605735, \"1248134400000\": -0.2550142563, \"1402531200000\": -0.3439267502, \"1407801600000\": -0.2533770017, \"1334275200000\": -0.3666001688, \"1382572800000\": -0.3199859761, \"1263340800000\": -0.2449527568, \"1450224000000\": 0.2397891315, \"1437955200000\": 0.2452924978, \"1506297600000\": 0.2359322378, \"1424908800000\": 0.0683560558, \"1219363200000\": -0.5591458335, \"1310515200000\": -0.2449184945, \"1512691200000\": 0.2439438963, \"1282521600000\": -0.3396005069, \"1359072000000\": -0.3274392068, \"1431993600000\": 0.476924356, \"1444262400000\": 0.0275016955, \"1270512000000\": -0.2408201178, \"1294617600000\": -0.2590772455, \"1371168000000\": -0.3243977573, \"1245888000000\": -0.3436486566, \"1355270400000\": -0.4273139845, \"1335139200000\": -0.3632997788, \"1432252800000\": 0.560249686, \"1446681600000\": 0.2100277814, \"1205107200000\": -0.1326882602, \"1505692800000\": 0.2647383378, \"1259798400000\": -0.2009619554, \"1453420800000\": 0.011567582, \"1384732800000\": -0.3130490264, \"1443484800000\": -0.0186794345, \"1201737600000\": -0.1181079977, \"1236211200000\": -0.5181016275, \"1221696000000\": -0.6471858163, \"1372809600000\": -0.3870170375, \"1428364800000\": 0.3299671839, \"1288310400000\": -0.193638283, \"1470182400000\": 0.0747492452, \"1448928000000\": 0.2089167816, \"1444867200000\": 0.106750083, \"1267488000000\": -0.2665075296, \"1297987200000\": -0.2365524309, \"1385337600000\": -0.3155912304, \"1485302400000\": 0.0914556762, \"1224806400000\": -0.6606275509, \"1388361600000\": -0.318765835, \"1460592000000\": 0.0803012127, \"1495065600000\": 0.1100244553, \"1294099200000\": -0.2380740555, \"1267660800000\": -0.2823412196, \"1479772800000\": 0.1548482931, \"1353974400000\": -0.4596752456, \"1371081600000\": -0.3357897873, \"1236038400000\": -0.5538790675, \"1271980800000\": -0.2754408394, \"1403654400000\": -0.3462182535, \"1231891200000\": -0.6000864755, \"1324425600000\": -0.4452473409, \"1393545600000\": -0.3324594069, \"1403222400000\": -0.3496848102, \"1278288000000\": -0.4376233829, \"1397520000000\": -0.3175164525, \"1462320000000\": 0.0552640078, \"1495152000000\": 0.1061894296, \"1416441600000\": -0.1976246654, \"1228435200000\": -0.6102135874, \"1446768000000\": 0.2525609214, \"1290124800000\": -0.2452336642, \"1514160000000\": 0.2335558709, \"1323388800000\": -0.4009066009, \"1366848000000\": -0.3385033407, \"1411344000000\": -0.2374779482, \"1413331200000\": -0.2017378269, \"1264982400000\": -0.3027115156, \"1430179200000\": 0.4137533798, \"1449532800000\": 0.2103370316, \"1467676800000\": 0.0778470975, \"1354492800000\": -0.4755658556, \"1242000000000\": -0.4289066632, \"1487894400000\": 0.1416401412, \"1465862400000\": 0.0041115162, \"1485129600000\": 0.0872711362, \"1363824000000\": -0.3003489402, \"1253491200000\": -0.3086110984, \"1427932800000\": 0.2818609339, \"1476403200000\": 0.1180175912, \"1219190400000\": -0.5405603835, \"1278892800000\": -0.4056353629, \"1413244800000\": -0.2083038469, \"1410220800000\": -0.2197757406, \"1398816000000\": -0.3470741207, \"1242691200000\": -0.401497691, \"1245283200000\": -0.3554987493, \"1319673600000\": -0.3629664093, \"1442534400000\": -0.0253687937, \"1447027200000\": 0.2702079214, \"1353283200000\": -0.4470821099, \"1415318400000\": -0.1947342546, \"1452038400000\": 0.1624523321, \"1224633600000\": -0.6564466409, \"1482796800000\": 0.1122118287, \"1280793600000\": -0.3552454608, \"1471305600000\": 0.1300076783, \"1432080000000\": 0.496182356, \"1475020800000\": 0.0916462894, \"1496275200000\": 0.0839734396, \"1223337600000\": -0.5994026051, \"1484870400000\": 0.0827533062, \"1484092800000\": 0.1124534572, \"1451433600000\": 0.2579068321, \"1320624000000\": -0.3384068971, \"1370563200000\": -0.3111497435, \"1271635200000\": -0.2895246078, \"1213833600000\": -0.4754852316, \"1400025600000\": -0.3411238309, \"1450656000000\": 0.2909029815, \"1445472000000\": 0.123792053, \"1285718400000\": -0.3402107592, \"1373587200000\": -0.3608827264, \"1483920000000\": 0.1286258972, \"1270598400000\": -0.2449128378, \"1414627200000\": -0.2003639868, \"1301011200000\": -0.2021804706, \"1418860800000\": -0.0054933471, \"1241568000000\": -0.4191564832, \"1229472000000\": -0.6042314739, \"1218412800000\": -0.5415968012, \"1277942400000\": -0.4358861568, \"1380067200000\": -0.3105964453, \"1484006400000\": 0.1245546572, \"1220572800000\": -0.6008046176, \"1492128000000\": 0.1673532945, \"1371513600000\": -0.3254213673, \"1407196800000\": -0.2577499617, \"1238630400000\": -0.4587326339, \"1468195200000\": 0.0815052527, \"1208131200000\": -0.3363367469, \"1215648000000\": -0.4081055897, \"1431475200000\": 0.4568177983, \"1250035200000\": -0.2812325063, \"1470268800000\": 0.0790382383, \"1326153600000\": -0.4239472471, \"1476316800000\": 0.1202253112, \"1306713600000\": -0.2980885244, \"1395878400000\": -0.3382424554, \"1245974400000\": -0.3364490966, \"1226448000000\": -0.6626772435, \"1347235200000\": -0.3978864171, \"1431043200000\": 0.3900611683, \"1216339200000\": -0.4410165647, \"1329436800000\": -0.3943566149, \"1417564800000\": -0.0891225359, \"1464739200000\": 0.0352452329, \"1480550400000\": 0.1747555431, \"1456185600000\": 0.0097984876, \"1243382400000\": -0.4186438513, \"1373500800000\": -0.3496810264, \"1238457600000\": -0.4725649639, \"1215129600000\": -0.4532481997, \"1222128000000\": -0.6001258263, \"1313971200000\": -0.3132783362, \"1493164800000\": 0.1303611867, \"1513036800000\": 0.2481701709, \"1289347200000\": -0.1699431547, \"1234310400000\": -0.5169208513, \"1325030400000\": -0.457468159, \"1338336000000\": -0.342896715, \"1469577600000\": 0.0764840052, \"1481500800000\": 0.1302801476, \"1228953600000\": -0.5993818639, \"1513728000000\": 0.2393757709, \"1219622400000\": -0.5637366335, \"1456358400000\": -0.0586599624, \"1236643200000\": -0.5302056975, \"1261526400000\": -0.2683819954, \"1394582400000\": -0.3526414818, \"1328054400000\": -0.427943376, \"1199750400000\": 0.0376051536, \"1396224000000\": -0.3484965054, \"1481846400000\": 0.1204799876, \"1430956800000\": 0.3562213483, \"1374019200000\": -0.3523800664, \"1384905600000\": -0.3082718464, \"1204243200000\": -0.0988322227, \"1337212800000\": -0.3521696358, \"1344556800000\": -0.3763614655, \"1421971200000\": 0.0206058106, \"1250467200000\": -0.3361764563, \"1378252800000\": -0.3186066302, \"1491350400000\": 0.1688891556, \"1458000000000\": -0.0342488775, \"1503446400000\": 0.2187694937, \"1461801600000\": 0.0321121478, \"1253577600000\": -0.3252792484, \"1427760000000\": 0.2499232047, \"1504656000000\": 0.2597753258, \"1376870400000\": -0.3363454466, \"1307923200000\": -0.2951563317, \"1391990400000\": -0.3018849618, \"1382400000000\": -0.3060841961, \"1308528000000\": -0.3153206497, \"1268784000000\": -0.2701283934, \"1451952000000\": 0.1389395421, \"1295481600000\": -0.3023145467, \"1236729600000\": -0.5345759275, \"1500508800000\": 0.2277236629, \"1420416000000\": 0.0136592433, \"1332288000000\": -0.3658449108, \"1292803200000\": -0.2449742302, \"1412035200000\": -0.2098072069, \"1282176000000\": -0.3240297769, \"1375228800000\": -0.3751882368, \"1318377600000\": -0.3629256693, \"1248652800000\": -0.2132682462, \"1381276800000\": -0.3063172753, \"1269475200000\": -0.2797100524, \"1293148800000\": -0.2461098202, \"1200355200000\": 0.0853253736, \"1208390400000\": -0.3556167081, \"1501459200000\": 0.2396489829, \"1420675200000\": 0.0024496633, \"1435622400000\": 0.4185738208, \"1311033600000\": -0.2478300715, \"1341532800000\": -0.3681210945, \"1409875200000\": -0.2205365206, \"1207180800000\": -0.3426624969, \"1495670400000\": 0.1024400196, \"1277251200000\": -0.3762916668, \"1375056000000\": -0.3812012768, \"1204156800000\": -0.1092911327, \"1252368000000\": -0.320464416, \"1428624000000\": 0.3682185839, \"1422835200000\": -0.0119937102, \"1413849600000\": -0.2110300168, \"1455667200000\": 0.0005463876, \"1491782400000\": 0.1653857145, \"1505088000000\": 0.2618266658, \"1472169600000\": 0.112375298, \"1478822400000\": 0.1447304544, \"1351814400000\": -0.4115142658, \"1411948800000\": -0.2138640182, \"1240531200000\": -0.4608445982, \"1299801600000\": -0.221898774, \"1265932800000\": -0.2793065156, \"1282694400000\": -0.3508130469, \"1350864000000\": -0.3978694194, \"1322438400000\": -0.3758107783, \"1421280000000\": 0.0149729006, \"1487203200000\": 0.1262719121, \"1511913600000\": 0.2523307963, \"1312416000000\": -0.2752373423, \"1368144000000\": -0.3115203407, \"1418169600000\": -0.0331934659, \"1358726400000\": -0.3209380268, \"1251244800000\": -0.3233075614, \"1492473600000\": 0.1503215145, \"1242604800000\": -0.407942851, \"1411084800000\": -0.2233132582, \"1511222400000\": 0.3039705389, \"1364947200000\": -0.342666239, \"1312761600000\": -0.3156044523, \"1278979200000\": -0.4149354529, \"1212624000000\": -0.2989647921, \"1257724800000\": -0.2394542428, \"1474502400000\": 0.1058634894, \"1287100800000\": -0.2350495558, \"1215993600000\": -0.4062764497, \"1224201600000\": -0.6617124009, \"1490832000000\": 0.1401293756, \"1441065600000\": 0.0086955402, \"1489708800000\": 0.1462256363, \"1387843200000\": -0.328816125, \"1419379200000\": -0.0616147571, \"1244160000000\": -0.3771303013, \"1238025600000\": -0.4748190023, \"1487721600000\": 0.1439274412, \"1370217600000\": -0.2720678335, \"1514505600000\": 0.231833802, \"1454630400000\": -0.0421581224, \"1274140800000\": -0.388006968, \"1343865600000\": -0.402380892, \"1426118400000\": 0.0907251594, \"1386547200000\": -0.2896040581, \"1222387200000\": -0.5700490751, \"1453161600000\": 0.052699079, \"1458864000000\": 0.0421947411, \"1486339200000\": 0.1006382162, \"1422921600000\": 0.0105905498, \"1332201600000\": -0.3678593108, \"1240790400000\": -0.4742823932, \"1426809600000\": 0.1874622847, \"1350000000000\": -0.4106757594, \"1457654400000\": -0.0568579175, \"1484179200000\": 0.1043443072, \"1346198400000\": -0.4240553934, \"1252454400000\": -0.316064566, \"1379376000000\": -0.313216755, \"1234915200000\": -0.5255835187, \"1384992000000\": -0.3118546564, \"1299715200000\": -0.217767044, \"1262649600000\": -0.2133595868, \"1336694400000\": -0.3449919754, \"1223856000000\": -0.6258656251, \"1351468800000\": -0.4261716258, \"1454544000000\": -0.029586158, \"1216857600000\": -0.4050235047, \"1329264000000\": -0.3912724049, \"1383609600000\": -0.328328571, \"1468886400000\": 0.1033056127, \"1403827200000\": -0.3383359135, \"1212537600000\": -0.2960521721, \"1488240000000\": 0.1402129712, \"1430870400000\": 0.3683071383, \"1377648000000\": -0.3265312502, \"1443398400000\": -0.0032291245, \"1394150400000\": -0.3342641569, \"1280880000000\": -0.3493259708, \"1308873600000\": -0.2771724797, \"1342483200000\": -0.3863760566, \"1313366400000\": -0.2788690462, \"1309824000000\": -0.2488513545, \"1382313600000\": -0.2988695861, \"1426723200000\": 0.1672668047, \"1260316800000\": -0.216164006, \"1502150400000\": 0.2205540565, \"1274832000000\": -0.3741749607, \"1313539200000\": -0.2854281162, \"1336089600000\": -0.3328697754, \"1268697600000\": -0.2885136734, \"1306800000000\": -0.2856545544, \"1266969600000\": -0.2825024596, \"1338249600000\": -0.341698275, \"1272931200000\": -0.3210353394, \"1264636800000\": -0.2909739214, \"1504483200000\": 0.2583508958, \"1419984000000\": -0.0042656367, \"1426204800000\": 0.0998695494, \"1402012800000\": -0.3509761477, \"1241481600000\": -0.4281022832, \"1455753600000\": -0.0058519524, \"1313107200000\": -0.2913011662, \"1277337600000\": -0.3762281968, \"1328659200000\": -0.402242936, \"1304553600000\": -0.2482088317, \"1210550400000\": -0.2165221916, \"1282867200000\": -0.3443777669, \"1296000000000\": -0.3011054567, \"1352851200000\": -0.4336406299, \"1294963200000\": -0.2650436467, \"1490659200000\": 0.1531306456, \"1258675200000\": -0.2010088354, \"1227139200000\": -0.6283043535, \"1504828800000\": 0.2549463458, \"1494547200000\": 0.0923242153, \"1321574400000\": -0.369235747, \"1366934400000\": -0.3438013507, \"1329350400000\": -0.3940625749, \"1433376000000\": 0.6978212439, \"1470009600000\": 0.0656536352, \"1228867200000\": -0.5890857939, \"1340668800000\": -0.3827460199, \"1260835200000\": -0.210902736, \"1433808000000\": 0.7115727639, \"1513900800000\": 0.2406907709, \"1496707200000\": 0.1012887947, \"1476057600000\": 0.1123401912, \"1408924800000\": -0.2521676383, \"1374796800000\": -0.3644340468, \"1201478400000\": -0.1108433523, \"1300665600000\": -0.2284970806, \"1354752000000\": -0.4472111745, \"1417478400000\": -0.0999258659, \"1378944000000\": -0.296296585, \"1299024000000\": -0.2222568009, \"1256688000000\": -0.2767924892, \"1499385600000\": 0.2061201934, \"1200614400000\": 0.0286984477, \"1389052800000\": -0.3341973356, \"1374624000000\": -0.3538676664, \"1479859200000\": 0.1573878431, \"1390348800000\": -0.3262578218, \"1449014400000\": 0.2370631316, \"1461888000000\": 0.0288285378, \"1410480000000\": -0.2179607306, \"1465257600000\": 0.0457377262, \"1440547200000\": -0.0356611798, \"1506643200000\": 0.2481208209, \"1453334400000\": -0.000814901, \"1223596800000\": -0.6395956051, \"1356048000000\": -0.3997556954, \"1435190400000\": 0.5238273779, \"1363046400000\": -0.3212061302, \"1482192000000\": 0.1144640887, \"1203379200000\": -0.0432539577, \"1381968000000\": -0.3180695561, \"1377561600000\": -0.3220635102, \"1388620800000\": -0.314894425, \"1210723200000\": -0.2067142316, \"1467849600000\": 0.0818300127, \"1421366400000\": 0.0251362306, \"1447200000000\": 0.2944595714, \"1313020800000\": -0.2952130562, \"1391731200000\": -0.3183242318, \"1369872000000\": -0.2614295535, \"1356393600000\": -0.3793642854, \"1383004800000\": -0.334673031, \"1265846400000\": -0.2858761956, \"1291334400000\": -0.2508252221, \"1415836800000\": -0.1928594446, \"1403136000000\": -0.3539331002, \"1446595200000\": 0.1863634214, \"1267056000000\": -0.2711014096, \"1210896000000\": -0.2087756116, \"1240185600000\": -0.4297001582, \"1319760000000\": -0.3477963871, \"1247011200000\": -0.2935568766, \"1259107200000\": -0.1980051054, \"1302134400000\": -0.1966440742, \"1437436800000\": 0.3418464678, \"1471392000000\": 0.1315374283, \"1346803200000\": -0.4305778371, \"1395705600000\": -0.3319746854, \"1448323200000\": 0.2796253995, \"1217462400000\": -0.4459733212, \"1355356800000\": -0.4343980645, \"1340064000000\": -0.3582281899, \"1263945600000\": -0.2455744414, \"1345161600000\": -0.3978784555, \"1442188800000\": -0.0243640537, \"1453766400000\": -0.054119398, \"1357776000000\": -0.3550813361, \"1387324800000\": -0.3137505881, \"1414972800000\": -0.1892839368, \"1274400000000\": -0.3891489907, \"1209427200000\": -0.2554536481, \"1385424000000\": -0.3144013504, \"1354579200000\": -0.4688453756, \"1476662400000\": 0.1115752112, \"1270684800000\": -0.2523935778, \"1265155200000\": -0.2858479656, \"1354147200000\": -0.4691962156, \"1246233600000\": -0.3251131766, \"1428883200000\": 0.3861867139, \"1312502400000\": -0.2886172023, \"1346630400000\": -0.4218242134, \"1348790400000\": -0.4148754158, \"1306281600000\": -0.2810237744, \"1284076800000\": -0.3231407817, \"1346371200000\": -0.4302933034, \"1316736000000\": -0.3482122493, \"1436918400000\": 0.2249488678, \"1476230400000\": 0.1162808512, \"1210636800000\": -0.2284216916, \"1334880000000\": -0.3561589188, \"1473379200000\": 0.1174820379, \"1249257600000\": -0.2077489462, \"1257292800000\": -0.2482251392, \"1381708800000\": -0.2994155661, \"1472515200000\": 0.118381838, \"1502755200000\": 0.2224869837, \"1415145600000\": -0.1977365946, \"1356480000000\": -0.3745138954, \"1496880000000\": 0.1257745647, \"1364428800000\": -0.334689369, \"1511740800000\": 0.2412978889, \"1241049600000\": -0.4513671832, \"1293753600000\": -0.2534764055, \"1460419200000\": 0.0591470427, \"1365638400000\": -0.3425939162, \"1271721600000\": -0.2898280394, \"1440115200000\": 0.164195154, \"1466035200000\": 0.0187669962, \"1365552000000\": -0.3406473062, \"1315526400000\": -0.3276013582, \"1406764800000\": -0.2636834421, \"1312243200000\": -0.2803295823, \"1433116800000\": 0.6362334839, \"1268352000000\": -0.2814899934, \"1220227200000\": -0.5817605976, \"1440374400000\": 0.065929314, \"1307664000000\": -0.2941817017, \"1321228800000\": -0.332784827, \"1292889600000\": -0.2269759702, \"1237507200000\": -0.4960439723, \"1275350400000\": -0.3935876407}}'"
      }
     ],
     "trading_days": ""
    },
    {
     "cell_type": "markdown",
     "id": "C925C788A12A4D21A420E9369EC1784E",
     "metadata": {},
     "source": [
      "\u57fa\u4e8e\u98ce\u9669\u56e0\u5b50\u7684Smart Beta\u2014\u2014\u8d28\u91cf\n",
      "---\n",
      "\n",
      "- \u8d28\u91cf\u56e0\u5b50\u4e13\u6ce8\u4e8e\u9009\u53d6\u5177\u6709\u9ad8\u8d22\u52a1\u8d28\u91cf\u7684\u516c\u53f8\uff0c\u8ba4\u4e3a\u9ad8\u8d28\u91cf\u6027\u516c\u53f8\u76f8\u6bd4\u4f4e\u8d28\u91cf\u6027\u516c\u53f8\u6709\u8d85\u989d\u6536\u76ca\n",
      "- \u9009\u53d6`\u6d41\u52a8\u6bd4\u7387\u3001\u8425\u4e1a\u5229\u6da6\u7387\u3001\u6743\u76ca\u6536\u76ca\u7387\u3001\u603b\u8d44\u4ea7\u5468\u8f6c\u7387`\u6765\u6784\u5efa\u8d28\u91cf\u56e0\u5b50\uff0c\u7b49\u6743\u5408\u6210 "
     ]
    },
    {
     "cell_type": "strategy",
     "collapsed": false,
     "id": "DE8900698ED549739606847EE8736E3B",
     "input": "import numpy as np\nimport pandas as pd\nstart = '2008-01-01'\nend = '2017-12-31'   # \u56de\u6d4b\u7ed3\u675f\u65f6\u95f4\nuniverse = DynamicUniverse('HS300') + DynamicUniverse('ZZ500')\nbenchmark = 'HS300'                       # \u7b56\u7565\u53c2\u8003\u6807\u51c6\nfreq = 'd'                              # \u7b56\u7565\u7c7b\u578b\uff0c'd'\u8868\u793a\u65e5\u95f4\u7b56\u7565\u4f7f\u7528\u65e5\u7ebf\u56de\u6d4b\uff0c'm'\u8868\u793a\u65e5\u5185\u7b56\u7565\u4f7f\u7528\u5206\u949f\u7ebf\u56de\u6d4b\nrefresh_rate = 10                          # \u8c03\u4ed3\u9891\u7387\n\naccounts = {\n    'fantasy_account': AccountConfig(account_type='security', capital_base=10000000)\n}\n\ndef initialize(context):                   # \u521d\u59cb\u5316\u865a\u62df\u8d26\u6237\u72b6\u6001\n    context.signal_generator = SignalGenerator(Signal('CurrentRatio'), \n                                               Signal('OperatingProfitRatio'), \n                                               Signal('ROE'), \n                                               Signal('TotalAssetsTRate'))\n\ndef handle_data(context):                  # \u6bcf\u4e2a\u4ea4\u6613\u65e5\u7684\u4e70\u5165\u5356\u51fa\u6307\u4ee4    \n    account = context.get_account('fantasy_account')\n    current_universe = context.get_universe(exclude_halt=True)\n    yesterday = context.previous_date.strftime('%Y-%m-%d')\n    \n    signals = context.history(current_universe, ['CurrentRatio', 'OperatingProfitRatio', 'ROE', 'TotalAssetsTRate'], 1, freq='1d', rtype='frame',style='tas')[yesterday]\n    signal1 = standardize(winsorize(signals['CurrentRatio'].dropna()))\n    signal2 = standardize(winsorize(signals['OperatingProfitRatio'].dropna()))\n    signal3 = standardize(winsorize(signals['ROE'].dropna()))\n    signal4 = standardize(winsorize(signals['TotalAssetsTRate'].dropna()))\n    signal = (0.25*signal1).add(0.25*signal2, fill_value=0.0).add(0.25*signal3, fill_value=0.0).add(0.25*signal4, fill_value=0.0)\n    \n    wts = long_only(signal.to_dict(), select_type=1, top_ratio=0.2, weight_type=1, target_date=yesterday)\n    \n    # \u4ea4\u6613\u90e8\u5206\n    positions = account.get_positions()\n    sell_list = [stk for stk in positions if stk not in wts]\n    for stk in sell_list:\n        order_to(stk,0)\n\n    c = account.portfolio_value\n    change = {}\n                                               \n    for stock, w in wts.iteritems():\n        p = account.reference_price[stock]\n\n        if not np.isnan(p) and p > 0:\n            if stock in positions:\n                change[stock] = int(c * w / p) - positions[stock].amount\n            else:\n                change[stock] = int(c * w / p) - 0\n\n    for stock in sorted(change, key=change.get):\n        account.order(stock, change[stock])",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "trading_days": [
      1199232000000,
      1199318400000,
      1199404800000,
      1199664000000,
      1199750400000,
      1199836800000,
      1199923200000,
      1200009600000,
      1200268800000,
      1200355200000,
      1200441600000,
      1200528000000,
      1200614400000,
      1200873600000,
      1200960000000,
      1201046400000,
      1201132800000,
      1201219200000,
      1201478400000,
      1201564800000,
      1201651200000,
      1201737600000,
      1201824000000,
      1202083200000,
      1202169600000,
      1202860800000,
      1202947200000,
      1203033600000,
      1203292800000,
      1203379200000,
      1203465600000,
      1203552000000,
      1203638400000,
      1203897600000,
      1203984000000,
      1204070400000,
      1204156800000,
      1204243200000,
      1204502400000,
      1204588800000,
      1204675200000,
      1204761600000,
      1204848000000,
      1205107200000,
      1205193600000,
      1205280000000,
      1205366400000,
      1205452800000,
      1205712000000,
      1205798400000,
      1205884800000,
      1205971200000,
      1206057600000,
      1206316800000,
      1206403200000,
      1206489600000,
      1206576000000,
      1206662400000,
      1206921600000,
      1207008000000,
      1207094400000,
      1207180800000,
      1207526400000,
      1207612800000,
      1207699200000,
      1207785600000,
      1207872000000,
      1208131200000,
      1208217600000,
      1208304000000,
      1208390400000,
      1208476800000,
      1208736000000,
      1208822400000,
      1208908800000,
      1208995200000,
      1209081600000,
      1209340800000,
      1209427200000,
      1209513600000,
      1209945600000,
      1210032000000,
      1210118400000,
      1210204800000,
      1210291200000,
      1210550400000,
      1210636800000,
      1210723200000,
      1210809600000,
      1210896000000,
      1211155200000,
      1211241600000,
      1211328000000,
      1211414400000,
      1211500800000,
      1211760000000,
      1211846400000,
      1211932800000,
      1212019200000,
      1212105600000,
      1212364800000,
      1212451200000,
      1212537600000,
      1212624000000,
      1212710400000,
      1213056000000,
      1213142400000,
      1213228800000,
      1213315200000,
      1213574400000,
      1213660800000,
      1213747200000,
      1213833600000,
      1213920000000,
      1214179200000,
      1214265600000,
      1214352000000,
      1214438400000,
      1214524800000,
      1214784000000,
      1214870400000,
      1214956800000,
      1215043200000,
      1215129600000,
      1215388800000,
      1215475200000,
      1215561600000,
      1215648000000,
      1215734400000,
      1215993600000,
      1216080000000,
      1216166400000,
      1216252800000,
      1216339200000,
      1216598400000,
      1216684800000,
      1216771200000,
      1216857600000,
      1216944000000,
      1217203200000,
      1217289600000,
      1217376000000,
      1217462400000,
      1217548800000,
      1217808000000,
      1217894400000,
      1217980800000,
      1218067200000,
      1218153600000,
      1218412800000,
      1218499200000,
      1218585600000,
      1218672000000,
      1218758400000,
      1219017600000,
      1219104000000,
      1219190400000,
      1219276800000,
      1219363200000,
      1219622400000,
      1219708800000,
      1219795200000,
      1219881600000,
      1219968000000,
      1220227200000,
      1220313600000,
      1220400000000,
      1220486400000,
      1220572800000,
      1220832000000,
      1220918400000,
      1221004800000,
      1221091200000,
      1221177600000,
      1221523200000,
      1221609600000,
      1221696000000,
      1221782400000,
      1222041600000,
      1222128000000,
      1222214400000,
      1222300800000,
      1222387200000,
      1223251200000,
      1223337600000,
      1223424000000,
      1223510400000,
      1223596800000,
      1223856000000,
      1223942400000,
      1224028800000,
      1224115200000,
      1224201600000,
      1224460800000,
      1224547200000,
      1224633600000,
      1224720000000,
      1224806400000,
      1225065600000,
      1225152000000,
      1225238400000,
      1225324800000,
      1225411200000,
      1225670400000,
      1225756800000,
      1225843200000,
      1225929600000,
      1226016000000,
      1226275200000,
      1226361600000,
      1226448000000,
      1226534400000,
      1226620800000,
      1226880000000,
      1226966400000,
      1227052800000,
      1227139200000,
      1227225600000,
      1227484800000,
      1227571200000,
      1227657600000,
      1227744000000,
      1227830400000,
      1228089600000,
      1228176000000,
      1228262400000,
      1228348800000,
      1228435200000,
      1228694400000,
      1228780800000,
      1228867200000,
      1228953600000,
      1229040000000,
      1229299200000,
      1229385600000,
      1229472000000,
      1229558400000,
      1229644800000,
      1229904000000,
      1229990400000,
      1230076800000,
      1230163200000,
      1230249600000,
      1230508800000,
      1230595200000,
      1230681600000,
      1231113600000,
      1231200000000,
      1231286400000,
      1231372800000,
      1231459200000,
      1231718400000,
      1231804800000,
      1231891200000,
      1231977600000,
      1232064000000,
      1232323200000,
      1232409600000,
      1232496000000,
      1232582400000,
      1232668800000,
      1233532800000,
      1233619200000,
      1233705600000,
      1233792000000,
      1233878400000,
      1234137600000,
      1234224000000,
      1234310400000,
      1234396800000,
      1234483200000,
      1234742400000,
      1234828800000,
      1234915200000,
      1235001600000,
      1235088000000,
      1235347200000,
      1235433600000,
      1235520000000,
      1235606400000,
      1235692800000,
      1235952000000,
      1236038400000,
      1236124800000,
      1236211200000,
      1236297600000,
      1236556800000,
      1236643200000,
      1236729600000,
      1236816000000,
      1236902400000,
      1237161600000,
      1237248000000,
      1237334400000,
      1237420800000,
      1237507200000,
      1237766400000,
      1237852800000,
      1237939200000,
      1238025600000,
      1238112000000,
      1238371200000,
      1238457600000,
      1238544000000,
      1238630400000,
      1238716800000,
      1239062400000,
      1239148800000,
      1239235200000,
      1239321600000,
      1239580800000,
      1239667200000,
      1239753600000,
      1239840000000,
      1239926400000,
      1240185600000,
      1240272000000,
      1240358400000,
      1240444800000,
      1240531200000,
      1240790400000,
      1240876800000,
      1240963200000,
      1241049600000,
      1241395200000,
      1241481600000,
      1241568000000,
      1241654400000,
      1241740800000,
      1242000000000,
      1242086400000,
      1242172800000,
      1242259200000,
      1242345600000,
      1242604800000,
      1242691200000,
      1242777600000,
      1242864000000,
      1242950400000,
      1243209600000,
      1243296000000,
      1243382400000,
      1243814400000,
      1243900800000,
      1243987200000,
      1244073600000,
      1244160000000,
      1244419200000,
      1244505600000,
      1244592000000,
      1244678400000,
      1244764800000,
      1245024000000,
      1245110400000,
      1245196800000,
      1245283200000,
      1245369600000,
      1245628800000,
      1245715200000,
      1245801600000,
      1245888000000,
      1245974400000,
      1246233600000,
      1246320000000,
      1246406400000,
      1246492800000,
      1246579200000,
      1246838400000,
      1246924800000,
      1247011200000,
      1247097600000,
      1247184000000,
      1247443200000,
      1247529600000,
      1247616000000,
      1247702400000,
      1247788800000,
      1248048000000,
      1248134400000,
      1248220800000,
      1248307200000,
      1248393600000,
      1248652800000,
      1248739200000,
      1248825600000,
      1248912000000,
      1248998400000,
      1249257600000,
      1249344000000,
      1249430400000,
      1249516800000,
      1249603200000,
      1249862400000,
      1249948800000,
      1250035200000,
      1250121600000,
      1250208000000,
      1250467200000,
      1250553600000,
      1250640000000,
      1250726400000,
      1250812800000,
      1251072000000,
      1251158400000,
      1251244800000,
      1251331200000,
      1251417600000,
      1251676800000,
      1251763200000,
      1251849600000,
      1251936000000,
      1252022400000,
      1252281600000,
      1252368000000,
      1252454400000,
      1252540800000,
      1252627200000,
      1252886400000,
      1252972800000,
      1253059200000,
      1253145600000,
      1253232000000,
      1253491200000,
      1253577600000,
      1253664000000,
      1253750400000,
      1253836800000,
      1254096000000,
      1254182400000,
      1254268800000,
      1255046400000,
      1255305600000,
      1255392000000,
      1255478400000,
      1255564800000,
      1255651200000,
      1255910400000,
      1255996800000,
      1256083200000,
      1256169600000,
      1256256000000,
      1256515200000,
      1256601600000,
      1256688000000,
      1256774400000,
      1256860800000,
      1257120000000,
      1257206400000,
      1257292800000,
      1257379200000,
      1257465600000,
      1257724800000,
      1257811200000,
      1257897600000,
      1257984000000,
      1258070400000,
      1258329600000,
      1258416000000,
      1258502400000,
      1258588800000,
      1258675200000,
      1258934400000,
      1259020800000,
      1259107200000,
      1259193600000,
      1259280000000,
      1259539200000,
      1259625600000,
      1259712000000,
      1259798400000,
      1259884800000,
      1260144000000,
      1260230400000,
      1260316800000,
      1260403200000,
      1260489600000,
      1260748800000,
      1260835200000,
      1260921600000,
      1261008000000,
      1261094400000,
      1261353600000,
      1261440000000,
      1261526400000,
      1261612800000,
      1261699200000,
      1261958400000,
      1262044800000,
      1262131200000,
      1262217600000,
      1262563200000,
      1262649600000,
      1262736000000,
      1262822400000,
      1262908800000,
      1263168000000,
      1263254400000,
      1263340800000,
      1263427200000,
      1263513600000,
      1263772800000,
      1263859200000,
      1263945600000,
      1264032000000,
      1264118400000,
      1264377600000,
      1264464000000,
      1264550400000,
      1264636800000,
      1264723200000,
      1264982400000,
      1265068800000,
      1265155200000,
      1265241600000,
      1265328000000,
      1265587200000,
      1265673600000,
      1265760000000,
      1265846400000,
      1265932800000,
      1266796800000,
      1266883200000,
      1266969600000,
      1267056000000,
      1267142400000,
      1267401600000,
      1267488000000,
      1267574400000,
      1267660800000,
      1267747200000,
      1268006400000,
      1268092800000,
      1268179200000,
      1268265600000,
      1268352000000,
      1268611200000,
      1268697600000,
      1268784000000,
      1268870400000,
      1268956800000,
      1269216000000,
      1269302400000,
      1269388800000,
      1269475200000,
      1269561600000,
      1269820800000,
      1269907200000,
      1269993600000,
      1270080000000,
      1270166400000,
      1270512000000,
      1270598400000,
      1270684800000,
      1270771200000,
      1271030400000,
      1271116800000,
      1271203200000,
      1271289600000,
      1271376000000,
      1271635200000,
      1271721600000,
      1271808000000,
      1271894400000,
      1271980800000,
      1272240000000,
      1272326400000,
      1272412800000,
      1272499200000,
      1272585600000,
      1272931200000,
      1273017600000,
      1273104000000,
      1273190400000,
      1273449600000,
      1273536000000,
      1273622400000,
      1273708800000,
      1273795200000,
      1274054400000,
      1274140800000,
      1274227200000,
      1274313600000,
      1274400000000,
      1274659200000,
      1274745600000,
      1274832000000,
      1274918400000,
      1275004800000,
      1275264000000,
      1275350400000,
      1275436800000,
      1275523200000,
      1275609600000,
      1275868800000,
      1275955200000,
      1276041600000,
      1276128000000,
      1276214400000,
      1276732800000,
      1276819200000,
      1277078400000,
      1277164800000,
      1277251200000,
      1277337600000,
      1277424000000,
      1277683200000,
      1277769600000,
      1277856000000,
      1277942400000,
      1278028800000,
      1278288000000,
      1278374400000,
      1278460800000,
      1278547200000,
      1278633600000,
      1278892800000,
      1278979200000,
      1279065600000,
      1279152000000,
      1279238400000,
      1279497600000,
      1279584000000,
      1279670400000,
      1279756800000,
      1279843200000,
      1280102400000,
      1280188800000,
      1280275200000,
      1280361600000,
      1280448000000,
      1280707200000,
      1280793600000,
      1280880000000,
      1280966400000,
      1281052800000,
      1281312000000,
      1281398400000,
      1281484800000,
      1281571200000,
      1281657600000,
      1281916800000,
      1282003200000,
      1282089600000,
      1282176000000,
      1282262400000,
      1282521600000,
      1282608000000,
      1282694400000,
      1282780800000,
      1282867200000,
      1283126400000,
      1283212800000,
      1283299200000,
      1283385600000,
      1283472000000,
      1283731200000,
      1283817600000,
      1283904000000,
      1283990400000,
      1284076800000,
      1284336000000,
      1284422400000,
      1284508800000,
      1284595200000,
      1284681600000,
      1284940800000,
      1285027200000,
      1285545600000,
      1285632000000,
      1285718400000,
      1285804800000,
      1286496000000,
      1286755200000,
      1286841600000,
      1286928000000,
      1287014400000,
      1287100800000,
      1287360000000,
      1287446400000,
      1287532800000,
      1287619200000,
      1287705600000,
      1287964800000,
      1288051200000,
      1288137600000,
      1288224000000,
      1288310400000,
      1288569600000,
      1288656000000,
      1288742400000,
      1288828800000,
      1288915200000,
      1289174400000,
      1289260800000,
      1289347200000,
      1289433600000,
      1289520000000,
      1289779200000,
      1289865600000,
      1289952000000,
      1290038400000,
      1290124800000,
      1290384000000,
      1290470400000,
      1290556800000,
      1290643200000,
      1290729600000,
      1290988800000,
      1291075200000,
      1291161600000,
      1291248000000,
      1291334400000,
      1291593600000,
      1291680000000,
      1291766400000,
      1291852800000,
      1291939200000,
      1292198400000,
      1292284800000,
      1292371200000,
      1292457600000,
      1292544000000,
      1292803200000,
      1292889600000,
      1292976000000,
      1293062400000,
      1293148800000,
      1293408000000,
      1293494400000,
      1293580800000,
      1293667200000,
      1293753600000,
      1294099200000,
      1294185600000,
      1294272000000,
      1294358400000,
      1294617600000,
      1294704000000,
      1294790400000,
      1294876800000,
      1294963200000,
      1295222400000,
      1295308800000,
      1295395200000,
      1295481600000,
      1295568000000,
      1295827200000,
      1295913600000,
      1296000000000,
      1296086400000,
      1296172800000,
      1296432000000,
      1296518400000,
      1297209600000,
      1297296000000,
      1297382400000,
      1297641600000,
      1297728000000,
      1297814400000,
      1297900800000,
      1297987200000,
      1298246400000,
      1298332800000,
      1298419200000,
      1298505600000,
      1298592000000,
      1298851200000,
      1298937600000,
      1299024000000,
      1299110400000,
      1299196800000,
      1299456000000,
      1299542400000,
      1299628800000,
      1299715200000,
      1299801600000,
      1300060800000,
      1300147200000,
      1300233600000,
      1300320000000,
      1300406400000,
      1300665600000,
      1300752000000,
      1300838400000,
      1300924800000,
      1301011200000,
      1301270400000,
      1301356800000,
      1301443200000,
      1301529600000,
      1301616000000,
      1302048000000,
      1302134400000,
      1302220800000,
      1302480000000,
      1302566400000,
      1302652800000,
      1302739200000,
      1302825600000,
      1303084800000,
      1303171200000,
      1303257600000,
      1303344000000,
      1303430400000,
      1303689600000,
      1303776000000,
      1303862400000,
      1303948800000,
      1304035200000,
      1304380800000,
      1304467200000,
      1304553600000,
      1304640000000,
      1304899200000,
      1304985600000,
      1305072000000,
      1305158400000,
      1305244800000,
      1305504000000,
      1305590400000,
      1305676800000,
      1305763200000,
      1305849600000,
      1306108800000,
      1306195200000,
      1306281600000,
      1306368000000,
      1306454400000,
      1306713600000,
      1306800000000,
      1306886400000,
      1306972800000,
      1307059200000,
      1307404800000,
      1307491200000,
      1307577600000,
      1307664000000,
      1307923200000,
      1308009600000,
      1308096000000,
      1308182400000,
      1308268800000,
      1308528000000,
      1308614400000,
      1308700800000,
      1308787200000,
      1308873600000,
      1309132800000,
      1309219200000,
      1309305600000,
      1309392000000,
      1309478400000,
      1309737600000,
      1309824000000,
      1309910400000,
      1309996800000,
      1310083200000,
      1310342400000,
      1310428800000,
      1310515200000,
      1310601600000,
      1310688000000,
      1310947200000,
      1311033600000,
      1311120000000,
      1311206400000,
      1311292800000,
      1311552000000,
      1311638400000,
      1311724800000,
      1311811200000,
      1311897600000,
      1312156800000,
      1312243200000,
      1312329600000,
      1312416000000,
      1312502400000,
      1312761600000,
      1312848000000,
      1312934400000,
      1313020800000,
      1313107200000,
      1313366400000,
      1313452800000,
      1313539200000,
      1313625600000,
      1313712000000,
      1313971200000,
      1314057600000,
      1314144000000,
      1314230400000,
      1314316800000,
      1314576000000,
      1314662400000,
      1314748800000,
      1314835200000,
      1314921600000,
      1315180800000,
      1315267200000,
      1315353600000,
      1315440000000,
      1315526400000,
      1315872000000,
      1315958400000,
      1316044800000,
      1316131200000,
      1316390400000,
      1316476800000,
      1316563200000,
      1316649600000,
      1316736000000,
      1316995200000,
      1317081600000,
      1317168000000,
      1317254400000,
      1317340800000,
      1318204800000,
      1318291200000,
      1318377600000,
      1318464000000,
      1318550400000,
      1318809600000,
      1318896000000,
      1318982400000,
      1319068800000,
      1319155200000,
      1319414400000,
      1319500800000,
      1319587200000,
      1319673600000,
      1319760000000,
      1320019200000,
      1320105600000,
      1320192000000,
      1320278400000,
      1320364800000,
      1320624000000,
      1320710400000,
      1320796800000,
      1320883200000,
      1320969600000,
      1321228800000,
      1321315200000,
      1321401600000,
      1321488000000,
      1321574400000,
      1321833600000,
      1321920000000,
      1322006400000,
      1322092800000,
      1322179200000,
      1322438400000,
      1322524800000,
      1322611200000,
      1322697600000,
      1322784000000,
      1323043200000,
      1323129600000,
      1323216000000,
      1323302400000,
      1323388800000,
      1323648000000,
      1323734400000,
      1323820800000,
      1323907200000,
      1323993600000,
      1324252800000,
      1324339200000,
      1324425600000,
      1324512000000,
      1324598400000,
      1324857600000,
      1324944000000,
      1325030400000,
      1325116800000,
      1325203200000,
      1325635200000,
      1325721600000,
      1325808000000,
      1326067200000,
      1326153600000,
      1326240000000,
      1326326400000,
      1326412800000,
      1326672000000,
      1326758400000,
      1326844800000,
      1326931200000,
      1327017600000,
      1327881600000,
      1327968000000,
      1328054400000,
      1328140800000,
      1328227200000,
      1328486400000,
      1328572800000,
      1328659200000,
      1328745600000,
      1328832000000,
      1329091200000,
      1329177600000,
      1329264000000,
      1329350400000,
      1329436800000,
      1329696000000,
      1329782400000,
      1329868800000,
      1329955200000,
      1330041600000,
      1330300800000,
      1330387200000,
      1330473600000,
      1330560000000,
      1330646400000,
      1330905600000,
      1330992000000,
      1331078400000,
      1331164800000,
      1331251200000,
      1331510400000,
      1331596800000,
      1331683200000,
      1331769600000,
      1331856000000,
      1332115200000,
      1332201600000,
      1332288000000,
      1332374400000,
      1332460800000,
      1332720000000,
      1332806400000,
      1332892800000,
      1332979200000,
      1333065600000,
      1333584000000,
      1333670400000,
      1333929600000,
      1334016000000,
      1334102400000,
      1334188800000,
      1334275200000,
      1334534400000,
      1334620800000,
      1334707200000,
      1334793600000,
      1334880000000,
      1335139200000,
      1335225600000,
      1335312000000,
      1335398400000,
      1335484800000,
      1335916800000,
      1336003200000,
      1336089600000,
      1336348800000,
      1336435200000,
      1336521600000,
      1336608000000,
      1336694400000,
      1336953600000,
      1337040000000,
      1337126400000,
      1337212800000,
      1337299200000,
      1337558400000,
      1337644800000,
      1337731200000,
      1337817600000,
      1337904000000,
      1338163200000,
      1338249600000,
      1338336000000,
      1338422400000,
      1338508800000,
      1338768000000,
      1338854400000,
      1338940800000,
      1339027200000,
      1339113600000,
      1339372800000,
      1339459200000,
      1339545600000,
      1339632000000,
      1339718400000,
      1339977600000,
      1340064000000,
      1340150400000,
      1340236800000,
      1340582400000,
      1340668800000,
      1340755200000,
      1340841600000,
      1340928000000,
      1341187200000,
      1341273600000,
      1341360000000,
      1341446400000,
      1341532800000,
      1341792000000,
      1341878400000,
      1341964800000,
      1342051200000,
      1342137600000,
      1342396800000,
      1342483200000,
      1342569600000,
      1342656000000,
      1342742400000,
      1343001600000,
      1343088000000,
      1343174400000,
      1343260800000,
      1343347200000,
      1343606400000,
      1343692800000,
      1343779200000,
      1343865600000,
      1343952000000,
      1344211200000,
      1344297600000,
      1344384000000,
      1344470400000,
      1344556800000,
      1344816000000,
      1344902400000,
      1344988800000,
      1345075200000,
      1345161600000,
      1345420800000,
      1345507200000,
      1345593600000,
      1345680000000,
      1345766400000,
      1346025600000,
      1346112000000,
      1346198400000,
      1346284800000,
      1346371200000,
      1346630400000,
      1346716800000,
      1346803200000,
      1346889600000,
      1346976000000,
      1347235200000,
      1347321600000,
      1347408000000,
      1347494400000,
      1347580800000,
      1347840000000,
      1347926400000,
      1348012800000,
      1348099200000,
      1348185600000,
      1348444800000,
      1348531200000,
      1348617600000,
      1348704000000,
      1348790400000,
      1349654400000,
      1349740800000,
      1349827200000,
      1349913600000,
      1350000000000,
      1350259200000,
      1350345600000,
      1350432000000,
      1350518400000,
      1350604800000,
      1350864000000,
      1350950400000,
      1351036800000,
      1351123200000,
      1351209600000,
      1351468800000,
      1351555200000,
      1351641600000,
      1351728000000,
      1351814400000,
      1352073600000,
      1352160000000,
      1352246400000,
      1352332800000,
      1352419200000,
      1352678400000,
      1352764800000,
      1352851200000,
      1352937600000,
      1353024000000,
      1353283200000,
      1353369600000,
      1353456000000,
      1353542400000,
      1353628800000,
      1353888000000,
      1353974400000,
      1354060800000,
      1354147200000,
      1354233600000,
      1354492800000,
      1354579200000,
      1354665600000,
      1354752000000,
      1354838400000,
      1355097600000,
      1355184000000,
      1355270400000,
      1355356800000,
      1355443200000,
      1355702400000,
      1355788800000,
      1355875200000,
      1355961600000,
      1356048000000,
      1356307200000,
      1356393600000,
      1356480000000,
      1356566400000,
      1356652800000,
      1356912000000,
      1357257600000,
      1357516800000,
      1357603200000,
      1357689600000,
      1357776000000,
      1357862400000,
      1358121600000,
      1358208000000,
      1358294400000,
      1358380800000,
      1358467200000,
      1358726400000,
      1358812800000,
      1358899200000,
      1358985600000,
      1359072000000,
      1359331200000,
      1359417600000,
      1359504000000,
      1359590400000,
      1359676800000,
      1359936000000,
      1360022400000,
      1360108800000,
      1360195200000,
      1360281600000,
      1361145600000,
      1361232000000,
      1361318400000,
      1361404800000,
      1361491200000,
      1361750400000,
      1361836800000,
      1361923200000,
      1362009600000,
      1362096000000,
      1362355200000,
      1362441600000,
      1362528000000,
      1362614400000,
      1362700800000,
      1362960000000,
      1363046400000,
      1363132800000,
      1363219200000,
      1363305600000,
      1363564800000,
      1363651200000,
      1363737600000,
      1363824000000,
      1363910400000,
      1364169600000,
      1364256000000,
      1364342400000,
      1364428800000,
      1364515200000,
      1364774400000,
      1364860800000,
      1364947200000,
      1365379200000,
      1365465600000,
      1365552000000,
      1365638400000,
      1365724800000,
      1365984000000,
      1366070400000,
      1366156800000,
      1366243200000,
      1366329600000,
      1366588800000,
      1366675200000,
      1366761600000,
      1366848000000,
      1366934400000,
      1367452800000,
      1367539200000,
      1367798400000,
      1367884800000,
      1367971200000,
      1368057600000,
      1368144000000,
      1368403200000,
      1368489600000,
      1368576000000,
      1368662400000,
      1368748800000,
      1369008000000,
      1369094400000,
      1369180800000,
      1369267200000,
      1369353600000,
      1369612800000,
      1369699200000,
      1369785600000,
      1369872000000,
      1369958400000,
      1370217600000,
      1370304000000,
      1370390400000,
      1370476800000,
      1370563200000,
      1371081600000,
      1371168000000,
      1371427200000,
      1371513600000,
      1371600000000,
      1371686400000,
      1371772800000,
      1372032000000,
      1372118400000,
      1372204800000,
      1372291200000,
      1372377600000,
      1372636800000,
      1372723200000,
      1372809600000,
      1372896000000,
      1372982400000,
      1373241600000,
      1373328000000,
      1373414400000,
      1373500800000,
      1373587200000,
      1373846400000,
      1373932800000,
      1374019200000,
      1374105600000,
      1374192000000,
      1374451200000,
      1374537600000,
      1374624000000,
      1374710400000,
      1374796800000,
      1375056000000,
      1375142400000,
      1375228800000,
      1375315200000,
      1375401600000,
      1375660800000,
      1375747200000,
      1375833600000,
      1375920000000,
      1376006400000,
      1376265600000,
      1376352000000,
      1376438400000,
      1376524800000,
      1376611200000,
      1376870400000,
      1376956800000,
      1377043200000,
      1377129600000,
      1377216000000,
      1377475200000,
      1377561600000,
      1377648000000,
      1377734400000,
      1377820800000,
      1378080000000,
      1378166400000,
      1378252800000,
      1378339200000,
      1378425600000,
      1378684800000,
      1378771200000,
      1378857600000,
      1378944000000,
      1379030400000,
      1379289600000,
      1379376000000,
      1379462400000,
      1379894400000,
      1379980800000,
      1380067200000,
      1380153600000,
      1380240000000,
      1380499200000,
      1381190400000,
      1381276800000,
      1381363200000,
      1381449600000,
      1381708800000,
      1381795200000,
      1381881600000,
      1381968000000,
      1382054400000,
      1382313600000,
      1382400000000,
      1382486400000,
      1382572800000,
      1382659200000,
      1382918400000,
      1383004800000,
      1383091200000,
      1383177600000,
      1383264000000,
      1383523200000,
      1383609600000,
      1383696000000,
      1383782400000,
      1383868800000,
      1384128000000,
      1384214400000,
      1384300800000,
      1384387200000,
      1384473600000,
      1384732800000,
      1384819200000,
      1384905600000,
      1384992000000,
      1385078400000,
      1385337600000,
      1385424000000,
      1385510400000,
      1385596800000,
      1385683200000,
      1385942400000,
      1386028800000,
      1386115200000,
      1386201600000,
      1386288000000,
      1386547200000,
      1386633600000,
      1386720000000,
      1386806400000,
      1386892800000,
      1387152000000,
      1387238400000,
      1387324800000,
      1387411200000,
      1387497600000,
      1387756800000,
      1387843200000,
      1387929600000,
      1388016000000,
      1388102400000,
      1388361600000,
      1388448000000,
      1388620800000,
      1388707200000,
      1388966400000,
      1389052800000,
      1389139200000,
      1389225600000,
      1389312000000,
      1389571200000,
      1389657600000,
      1389744000000,
      1389830400000,
      1389916800000,
      1390176000000,
      1390262400000,
      1390348800000,
      1390435200000,
      1390521600000,
      1390780800000,
      1390867200000,
      1390953600000,
      1391040000000,
      1391731200000,
      1391990400000,
      1392076800000,
      1392163200000,
      1392249600000,
      1392336000000,
      1392595200000,
      1392681600000,
      1392768000000,
      1392854400000,
      1392940800000,
      1393200000000,
      1393286400000,
      1393372800000,
      1393459200000,
      1393545600000,
      1393804800000,
      1393891200000,
      1393977600000,
      1394064000000,
      1394150400000,
      1394409600000,
      1394496000000,
      1394582400000,
      1394668800000,
      1394755200000,
      1395014400000,
      1395100800000,
      1395187200000,
      1395273600000,
      1395360000000,
      1395619200000,
      1395705600000,
      1395792000000,
      1395878400000,
      1395964800000,
      1396224000000,
      1396310400000,
      1396396800000,
      1396483200000,
      1396569600000,
      1396915200000,
      1397001600000,
      1397088000000,
      1397174400000,
      1397433600000,
      1397520000000,
      1397606400000,
      1397692800000,
      1397779200000,
      1398038400000,
      1398124800000,
      1398211200000,
      1398297600000,
      1398384000000,
      1398643200000,
      1398729600000,
      1398816000000,
      1399248000000,
      1399334400000,
      1399420800000,
      1399507200000,
      1399593600000,
      1399852800000,
      1399939200000,
      1400025600000,
      1400112000000,
      1400198400000,
      1400457600000,
      1400544000000,
      1400630400000,
      1400716800000,
      1400803200000,
      1401062400000,
      1401148800000,
      1401235200000,
      1401321600000,
      1401408000000,
      1401753600000,
      1401840000000,
      1401926400000,
      1402012800000,
      1402272000000,
      1402358400000,
      1402444800000,
      1402531200000,
      1402617600000,
      1402876800000,
      1402963200000,
      1403049600000,
      1403136000000,
      1403222400000,
      1403481600000,
      1403568000000,
      1403654400000,
      1403740800000,
      1403827200000,
      1404086400000,
      1404172800000,
      1404259200000,
      1404345600000,
      1404432000000,
      1404691200000,
      1404777600000,
      1404864000000,
      1404950400000,
      1405036800000,
      1405296000000,
      1405382400000,
      1405468800000,
      1405555200000,
      1405641600000,
      1405900800000,
      1405987200000,
      1406073600000,
      1406160000000,
      1406246400000,
      1406505600000,
      1406592000000,
      1406678400000,
      1406764800000,
      1406851200000,
      1407110400000,
      1407196800000,
      1407283200000,
      1407369600000,
      1407456000000,
      1407715200000,
      1407801600000,
      1407888000000,
      1407974400000,
      1408060800000,
      1408320000000,
      1408406400000,
      1408492800000,
      1408579200000,
      1408665600000,
      1408924800000,
      1409011200000,
      1409097600000,
      1409184000000,
      1409270400000,
      1409529600000,
      1409616000000,
      1409702400000,
      1409788800000,
      1409875200000,
      1410220800000,
      1410307200000,
      1410393600000,
      1410480000000,
      1410739200000,
      1410825600000,
      1410912000000,
      1410998400000,
      1411084800000,
      1411344000000,
      1411430400000,
      1411516800000,
      1411603200000,
      1411689600000,
      1411948800000,
      1412035200000,
      1412726400000,
      1412812800000,
      1412899200000,
      1413158400000,
      1413244800000,
      1413331200000,
      1413417600000,
      1413504000000,
      1413763200000,
      1413849600000,
      1413936000000,
      1414022400000,
      1414108800000,
      1414368000000,
      1414454400000,
      1414540800000,
      1414627200000,
      1414713600000,
      1414972800000,
      1415059200000,
      1415145600000,
      1415232000000,
      1415318400000,
      1415577600000,
      1415664000000,
      1415750400000,
      1415836800000,
      1415923200000,
      1416182400000,
      1416268800000,
      1416355200000,
      1416441600000,
      1416528000000,
      1416787200000,
      1416873600000,
      1416960000000,
      1417046400000,
      1417132800000,
      1417392000000,
      1417478400000,
      1417564800000,
      1417651200000,
      1417737600000,
      1417996800000,
      1418083200000,
      1418169600000,
      1418256000000,
      1418342400000,
      1418601600000,
      1418688000000,
      1418774400000,
      1418860800000,
      1418947200000,
      1419206400000,
      1419292800000,
      1419379200000,
      1419465600000,
      1419552000000,
      1419811200000,
      1419897600000,
      1419984000000,
      1420416000000,
      1420502400000,
      1420588800000,
      1420675200000,
      1420761600000,
      1421020800000,
      1421107200000,
      1421193600000,
      1421280000000,
      1421366400000,
      1421625600000,
      1421712000000,
      1421798400000,
      1421884800000,
      1421971200000,
      1422230400000,
      1422316800000,
      1422403200000,
      1422489600000,
      1422576000000,
      1422835200000,
      1422921600000,
      1423008000000,
      1423094400000,
      1423180800000,
      1423440000000,
      1423526400000,
      1423612800000,
      1423699200000,
      1423785600000,
      1424044800000,
      1424131200000,
      1424822400000,
      1424908800000,
      1424995200000,
      1425254400000,
      1425340800000,
      1425427200000,
      1425513600000,
      1425600000000,
      1425859200000,
      1425945600000,
      1426032000000,
      1426118400000,
      1426204800000,
      1426464000000,
      1426550400000,
      1426636800000,
      1426723200000,
      1426809600000,
      1427068800000,
      1427155200000,
      1427241600000,
      1427328000000,
      1427414400000,
      1427673600000,
      1427760000000,
      1427846400000,
      1427932800000,
      1428019200000,
      1428364800000,
      1428451200000,
      1428537600000,
      1428624000000,
      1428883200000,
      1428969600000,
      1429056000000,
      1429142400000,
      1429228800000,
      1429488000000,
      1429574400000,
      1429660800000,
      1429747200000,
      1429833600000,
      1430092800000,
      1430179200000,
      1430265600000,
      1430352000000,
      1430697600000,
      1430784000000,
      1430870400000,
      1430956800000,
      1431043200000,
      1431302400000,
      1431388800000,
      1431475200000,
      1431561600000,
      1431648000000,
      1431907200000,
      1431993600000,
      1432080000000,
      1432166400000,
      1432252800000,
      1432512000000,
      1432598400000,
      1432684800000,
      1432771200000,
      1432857600000,
      1433116800000,
      1433203200000,
      1433289600000,
      1433376000000,
      1433462400000,
      1433721600000,
      1433808000000,
      1433894400000,
      1433980800000,
      1434067200000,
      1434326400000,
      1434412800000,
      1434499200000,
      1434585600000,
      1434672000000,
      1435017600000,
      1435104000000,
      1435190400000,
      1435276800000,
      1435536000000,
      1435622400000,
      1435708800000,
      1435795200000,
      1435881600000,
      1436140800000,
      1436227200000,
      1436313600000,
      1436400000000,
      1436486400000,
      1436745600000,
      1436832000000,
      1436918400000,
      1437004800000,
      1437091200000,
      1437350400000,
      1437436800000,
      1437523200000,
      1437609600000,
      1437696000000,
      1437955200000,
      1438041600000,
      1438128000000,
      1438214400000,
      1438300800000,
      1438560000000,
      1438646400000,
      1438732800000,
      1438819200000,
      1438905600000,
      1439164800000,
      1439251200000,
      1439337600000,
      1439424000000,
      1439510400000,
      1439769600000,
      1439856000000,
      1439942400000,
      1440028800000,
      1440115200000,
      1440374400000,
      1440460800000,
      1440547200000,
      1440633600000,
      1440720000000,
      1440979200000,
      1441065600000,
      1441152000000,
      1441584000000,
      1441670400000,
      1441756800000,
      1441843200000,
      1441929600000,
      1442188800000,
      1442275200000,
      1442361600000,
      1442448000000,
      1442534400000,
      1442793600000,
      1442880000000,
      1442966400000,
      1443052800000,
      1443139200000,
      1443398400000,
      1443484800000,
      1443571200000,
      1444262400000,
      1444348800000,
      1444608000000,
      1444694400000,
      1444780800000,
      1444867200000,
      1444953600000,
      1445212800000,
      1445299200000,
      1445385600000,
      1445472000000,
      1445558400000,
      1445817600000,
      1445904000000,
      1445990400000,
      1446076800000,
      1446163200000,
      1446422400000,
      1446508800000,
      1446595200000,
      1446681600000,
      1446768000000,
      1447027200000,
      1447113600000,
      1447200000000,
      1447286400000,
      1447372800000,
      1447632000000,
      1447718400000,
      1447804800000,
      1447891200000,
      1447977600000,
      1448236800000,
      1448323200000,
      1448409600000,
      1448496000000,
      1448582400000,
      1448841600000,
      1448928000000,
      1449014400000,
      1449100800000,
      1449187200000,
      1449446400000,
      1449532800000,
      1449619200000,
      1449705600000,
      1449792000000,
      1450051200000,
      1450137600000,
      1450224000000,
      1450310400000,
      1450396800000,
      1450656000000,
      1450742400000,
      1450828800000,
      1450915200000,
      1451001600000,
      1451260800000,
      1451347200000,
      1451433600000,
      1451520000000,
      1451865600000,
      1451952000000,
      1452038400000,
      1452124800000,
      1452211200000,
      1452470400000,
      1452556800000,
      1452643200000,
      1452729600000,
      1452816000000,
      1453075200000,
      1453161600000,
      1453248000000,
      1453334400000,
      1453420800000,
      1453680000000,
      1453766400000,
      1453852800000,
      1453939200000,
      1454025600000,
      1454284800000,
      1454371200000,
      1454457600000,
      1454544000000,
      1454630400000,
      1455494400000,
      1455580800000,
      1455667200000,
      1455753600000,
      1455840000000,
      1456099200000,
      1456185600000,
      1456272000000,
      1456358400000,
      1456444800000,
      1456704000000,
      1456790400000,
      1456876800000,
      1456963200000,
      1457049600000,
      1457308800000,
      1457395200000,
      1457481600000,
      1457568000000,
      1457654400000,
      1457913600000,
      1458000000000,
      1458086400000,
      1458172800000,
      1458259200000,
      1458518400000,
      1458604800000,
      1458691200000,
      1458777600000,
      1458864000000,
      1459123200000,
      1459209600000,
      1459296000000,
      1459382400000,
      1459468800000,
      1459814400000,
      1459900800000,
      1459987200000,
      1460073600000,
      1460332800000,
      1460419200000,
      1460505600000,
      1460592000000,
      1460678400000,
      1460937600000,
      1461024000000,
      1461110400000,
      1461196800000,
      1461283200000,
      1461542400000,
      1461628800000,
      1461715200000,
      1461801600000,
      1461888000000,
      1462233600000,
      1462320000000,
      1462406400000,
      1462492800000,
      1462752000000,
      1462838400000,
      1462924800000,
      1463011200000,
      1463097600000,
      1463356800000,
      1463443200000,
      1463529600000,
      1463616000000,
      1463702400000,
      1463961600000,
      1464048000000,
      1464134400000,
      1464220800000,
      1464307200000,
      1464566400000,
      1464652800000,
      1464739200000,
      1464825600000,
      1464912000000,
      1465171200000,
      1465257600000,
      1465344000000,
      1465776000000,
      1465862400000,
      1465948800000,
      1466035200000,
      1466121600000,
      1466380800000,
      1466467200000,
      1466553600000,
      1466640000000,
      1466726400000,
      1466985600000,
      1467072000000,
      1467158400000,
      1467244800000,
      1467331200000,
      1467590400000,
      1467676800000,
      1467763200000,
      1467849600000,
      1467936000000,
      1468195200000,
      1468281600000,
      1468368000000,
      1468454400000,
      1468540800000,
      1468800000000,
      1468886400000,
      1468972800000,
      1469059200000,
      1469145600000,
      1469404800000,
      1469491200000,
      1469577600000,
      1469664000000,
      1469750400000,
      1470009600000,
      1470096000000,
      1470182400000,
      1470268800000,
      1470355200000,
      1470614400000,
      1470700800000,
      1470787200000,
      1470873600000,
      1470960000000,
      1471219200000,
      1471305600000,
      1471392000000,
      1471478400000,
      1471564800000,
      1471824000000,
      1471910400000,
      1471996800000,
      1472083200000,
      1472169600000,
      1472428800000,
      1472515200000,
      1472601600000,
      1472688000000,
      1472774400000,
      1473033600000,
      1473120000000,
      1473206400000,
      1473292800000,
      1473379200000,
      1473638400000,
      1473724800000,
      1473811200000,
      1474243200000,
      1474329600000,
      1474416000000,
      1474502400000,
      1474588800000,
      1474848000000,
      1474934400000,
      1475020800000,
      1475107200000,
      1475193600000,
      1476057600000,
      1476144000000,
      1476230400000,
      1476316800000,
      1476403200000,
      1476662400000,
      1476748800000,
      1476835200000,
      1476921600000,
      1477008000000,
      1477267200000,
      1477353600000,
      1477440000000,
      1477526400000,
      1477612800000,
      1477872000000,
      1477958400000,
      1478044800000,
      1478131200000,
      1478217600000,
      1478476800000,
      1478563200000,
      1478649600000,
      1478736000000,
      1478822400000,
      1479081600000,
      1479168000000,
      1479254400000,
      1479340800000,
      1479427200000,
      1479686400000,
      1479772800000,
      1479859200000,
      1479945600000,
      1480032000000,
      1480291200000,
      1480377600000,
      1480464000000,
      1480550400000,
      1480636800000,
      1480896000000,
      1480982400000,
      1481068800000,
      1481155200000,
      1481241600000,
      1481500800000,
      1481587200000,
      1481673600000,
      1481760000000,
      1481846400000,
      1482105600000,
      1482192000000,
      1482278400000,
      1482364800000,
      1482451200000,
      1482710400000,
      1482796800000,
      1482883200000,
      1482969600000,
      1483056000000,
      1483401600000,
      1483488000000,
      1483574400000,
      1483660800000,
      1483920000000,
      1484006400000,
      1484092800000,
      1484179200000,
      1484265600000,
      1484524800000,
      1484611200000,
      1484697600000,
      1484784000000,
      1484870400000,
      1485129600000,
      1485216000000,
      1485302400000,
      1485388800000,
      1486080000000,
      1486339200000,
      1486425600000,
      1486512000000,
      1486598400000,
      1486684800000,
      1486944000000,
      1487030400000,
      1487116800000,
      1487203200000,
      1487289600000,
      1487548800000,
      1487635200000,
      1487721600000,
      1487808000000,
      1487894400000,
      1488153600000,
      1488240000000,
      1488326400000,
      1488412800000,
      1488499200000,
      1488758400000,
      1488844800000,
      1488931200000,
      1489017600000,
      1489104000000,
      1489363200000,
      1489449600000,
      1489536000000,
      1489622400000,
      1489708800000,
      1489968000000,
      1490054400000,
      1490140800000,
      1490227200000,
      1490313600000,
      1490572800000,
      1490659200000,
      1490745600000,
      1490832000000,
      1490918400000,
      1491350400000,
      1491436800000,
      1491523200000,
      1491782400000,
      1491868800000,
      1491955200000,
      1492041600000,
      1492128000000,
      1492387200000,
      1492473600000,
      1492560000000,
      1492646400000,
      1492732800000,
      1492992000000,
      1493078400000,
      1493164800000,
      1493251200000,
      1493337600000,
      1493683200000,
      1493769600000,
      1493856000000,
      1493942400000,
      1494201600000,
      1494288000000,
      1494374400000,
      1494460800000,
      1494547200000,
      1494806400000,
      1494892800000,
      1494979200000,
      1495065600000,
      1495152000000,
      1495411200000,
      1495497600000,
      1495584000000,
      1495670400000,
      1495756800000,
      1496188800000,
      1496275200000,
      1496361600000,
      1496620800000,
      1496707200000,
      1496793600000,
      1496880000000,
      1496966400000,
      1497225600000,
      1497312000000,
      1497398400000,
      1497484800000,
      1497571200000,
      1497830400000,
      1497916800000,
      1498003200000,
      1498089600000,
      1498176000000,
      1498435200000,
      1498521600000,
      1498608000000,
      1498694400000,
      1498780800000,
      1499040000000,
      1499126400000,
      1499212800000,
      1499299200000,
      1499385600000,
      1499644800000,
      1499731200000,
      1499817600000,
      1499904000000,
      1499990400000,
      1500249600000,
      1500336000000,
      1500422400000,
      1500508800000,
      1500595200000,
      1500854400000,
      1500940800000,
      1501027200000,
      1501113600000,
      1501200000000,
      1501459200000,
      1501545600000,
      1501632000000,
      1501718400000,
      1501804800000,
      1502064000000,
      1502150400000,
      1502236800000,
      1502323200000,
      1502409600000,
      1502668800000,
      1502755200000,
      1502841600000,
      1502928000000,
      1503014400000,
      1503273600000,
      1503360000000,
      1503446400000,
      1503532800000,
      1503619200000,
      1503878400000,
      1503964800000,
      1504051200000,
      1504137600000,
      1504224000000,
      1504483200000,
      1504569600000,
      1504656000000,
      1504742400000,
      1504828800000,
      1505088000000,
      1505174400000,
      1505260800000,
      1505347200000,
      1505433600000,
      1505692800000,
      1505779200000,
      1505865600000,
      1505952000000,
      1506038400000,
      1506297600000,
      1506384000000,
      1506470400000,
      1506556800000,
      1506643200000,
      1507507200000,
      1507593600000,
      1507680000000,
      1507766400000,
      1507852800000,
      1508112000000,
      1508198400000,
      1508284800000,
      1508371200000,
      1508457600000,
      1508716800000,
      1508803200000,
      1508889600000,
      1508976000000,
      1509062400000,
      1509321600000,
      1509408000000,
      1509494400000,
      1509580800000,
      1509667200000,
      1509926400000,
      1510012800000,
      1510099200000,
      1510185600000,
      1510272000000,
      1510531200000,
      1510617600000,
      1510704000000,
      1510790400000,
      1510876800000,
      1511136000000,
      1511222400000,
      1511308800000,
      1511395200000,
      1511481600000,
      1511740800000,
      1511827200000,
      1511913600000,
      1512000000000,
      1512086400000,
      1512345600000,
      1512432000000,
      1512518400000,
      1512604800000,
      1512691200000,
      1512950400000,
      1513036800000,
      1513123200000,
      1513209600000,
      1513296000000,
      1513555200000,
      1513641600000,
      1513728000000,
      1513814400000,
      1513900800000,
      1514160000000,
      1514246400000,
      1514332800000,
      1514419200000,
      1514505600000
     ]
    },
    {
     "cell_type": "markdown",
     "id": "EF36D354E16446998A992209D2665CBD",
     "metadata": {},
     "source": [
      "\u57fa\u4e8e\u98ce\u9669\u56e0\u5b50\u7684Smart Beta\u2014\u2014\u80a1\u606f\n",
      "---\n",
      "\n",
      "- \u80a1\u606f\u56e0\u5b50\u4e13\u6ce8\u4e8e\u9009\u53d6\u9ad8\u5206\u7ea2\u7684\u516c\u53f8\uff0c\u8ba4\u4e3a\u9ad8\u5206\u7ea2\u516c\u53f8\u76f8\u6bd4\u4f4e\u5206\u7ea2\u516c\u53f8\u6709\u8d85\u989d\u6536\u76ca\n",
      "- \u9009\u53d6`\u73b0\u91d1\u6d41\u5e02\u503c\u6bd4\u30015\u5e74\u5e73\u5747\u73b0\u91d1\u6d41\u5e02\u503c\u6bd4`\u6765\u6784\u5efa\u80a1\u606f\u56e0\u5b50\uff0c\u7b49\u6743\u5408\u6210 "
     ]
    },
    {
     "cell_type": "strategy",
     "collapsed": false,
     "id": "47ADB27266CF4D0C8C42031CB4697A84",
     "input": "import numpy as np\nimport pandas as pd\nstart = '2008-01-01'\nend = '2017-12-31'   # \u56de\u6d4b\u7ed3\u675f\u65f6\u95f4\nuniverse = DynamicUniverse('HS300') + DynamicUniverse('ZZ500')\nbenchmark = 'HS300'                       # \u7b56\u7565\u53c2\u8003\u6807\u51c6\nfreq = 'd'                              # \u7b56\u7565\u7c7b\u578b\uff0c'd'\u8868\u793a\u65e5\u95f4\u7b56\u7565\u4f7f\u7528\u65e5\u7ebf\u56de\u6d4b\uff0c'm'\u8868\u793a\u65e5\u5185\u7b56\u7565\u4f7f\u7528\u5206\u949f\u7ebf\u56de\u6d4b\nrefresh_rate = 10                          # \u8c03\u4ed3\u9891\u7387\n\naccounts = {\n    'fantasy_account': AccountConfig(account_type='security', capital_base=10000000)\n}\n\ndef initialize(context):                   # \u521d\u59cb\u5316\u865a\u62df\u8d26\u6237\u72b6\u6001\n    context.signal_generator = SignalGenerator(Signal('CTOP'), Signal('CTP5'))\n\ndef handle_data(context):                  # \u6bcf\u4e2a\u4ea4\u6613\u65e5\u7684\u4e70\u5165\u5356\u51fa\u6307\u4ee4\n    account = context.get_account('fantasy_account')\n    current_universe = context.get_universe(exclude_halt=True)\n    yesterday = context.previous_date.strftime('%Y-%m-%d')\n    \n    signals = context.history(current_universe, ['CTOP', 'CTP5'], 1, freq='1d', rtype='frame',style='tas')[yesterday]\n    signal1 = standardize(winsorize(signals['CTOP'].dropna()))\n    signal2 = standardize(winsorize(signals['CTP5'].dropna()))\n    signal = (0.5*signal1).add(0.5*signal2, fill_value=0.0)\n    wts = long_only(signal.to_dict(), select_type=1, top_ratio=0.2, weight_type=1, target_date=yesterday)\n    \n    # \u4ea4\u6613\u90e8\u5206\n    positions = account.get_positions()\n    sell_list = [stk for stk in positions if stk not in wts]\n    for stk in sell_list:\n        order_to(stk,0)\n\n    c = account.portfolio_value\n    change = {}\n                                               \n    for stock, w in wts.iteritems():\n        p = account.reference_price[stock]\n\n        if not np.isnan(p) and p > 0:\n            if stock in positions:\n                change[stock] = int(c * w / p) - positions[stock].amount\n            else:\n                change[stock] = int(c * w / p) - 0\n\n    for stock in sorted(change, key=change.get):\n        account.order(stock, change[stock])",
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "id": "E16F27F321974A748F3EA2159C61AE77",
     "metadata": {},
     "source": [
      "\u57fa\u4e8e\u98ce\u9669\u56e0\u5b50\u7684Smart Beta\u2014\u2014\u89c4\u6a21\n",
      "---\n",
      "\n",
      "- \u89c4\u6a21\u56e0\u5b50\u4e13\u6ce8\u4e8e\u9009\u53d6\u5e02\u503c\u5c0f\u7684\u516c\u53f8\uff0c\u8ba4\u4e3a\u5c0f\u5e02\u503c\u516c\u53f8\u76f8\u6bd4\u5927\u5e02\u503c\u516c\u53f8\u6709\u8d85\u989d\u6536\u76ca\n",
      "- \u9009\u53d6`\u5bf9\u6570\u603b\u5e02\u503c`\u6765\u6784\u5efa\u89c4\u6a21\u56e0\u5b50"
     ]
    },
    {
     "cell_type": "strategy",
     "collapsed": false,
     "id": "F15D138ACBE54C90B92A0F438B221134",
     "input": "import numpy as np\nimport pandas as pd\nstart = '2008-01-01'\nend = '2017-12-31'   # \u56de\u6d4b\u7ed3\u675f\u65f6\u95f4\nuniverse = DynamicUniverse('HS300') + DynamicUniverse('ZZ500')\nbenchmark = 'HS300'                       # \u7b56\u7565\u53c2\u8003\u6807\u51c6\nfreq = 'd'                              # \u7b56\u7565\u7c7b\u578b\uff0c'd'\u8868\u793a\u65e5\u95f4\u7b56\u7565\u4f7f\u7528\u65e5\u7ebf\u56de\u6d4b\uff0c'm'\u8868\u793a\u65e5\u5185\u7b56\u7565\u4f7f\u7528\u5206\u949f\u7ebf\u56de\u6d4b\nrefresh_rate = 10                          # \u8c03\u4ed3\u9891\u7387\n\naccounts = {\n    'fantasy_account': AccountConfig(account_type='security', capital_base=10000000)\n}\n\ndef initialize(context):                   # \u521d\u59cb\u5316\u865a\u62df\u8d26\u6237\u72b6\u6001\n    context.signal_generator = SignalGenerator(Signal('LCAP'))\n\ndef handle_data(context):                  # \u6bcf\u4e2a\u4ea4\u6613\u65e5\u7684\u4e70\u5165\u5356\u51fa\u6307\u4ee4\n    account = context.get_account('fantasy_account')\n    current_universe = context.get_universe(exclude_halt=True)\n    yesterday = context.previous_date.strftime('%Y-%m-%d')\n    \n    signals = context.history(current_universe, 'LCAP', 1, freq='1d', rtype='frame',style='tas')[yesterday]\n    signal = standardize((1.0 / winsorize(signals['LCAP'])).replace([np.inf, -np.inf], 0.0))\n    wts = long_only(signal.to_dict(), select_type=1, top_ratio=0.2, weight_type=0, target_date=yesterday)\n    \n    # \u4ea4\u6613\u90e8\u5206\n    positions = account.get_positions()\n    sell_list = [stk for stk in positions if stk not in wts]\n    for stk in sell_list:\n        order_to(stk,0)\n\n    c = account.portfolio_value\n    change = {}\n                                               \n    for stock, w in wts.iteritems():\n        p = account.reference_price[stock]\n\n        if not np.isnan(p) and p > 0:\n            if stock in positions:\n                change[stock] = int(c * w / p) - positions[stock].amount\n            else:\n                change[stock] = int(c * w / p) - 0\n\n    for stock in sorted(change, key=change.get):\n        account.order(stock, change[stock])",
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "id": "DD77FCF87C5E4CFB80C9A360F0BA8ED6",
     "metadata": {},
     "source": [
      "\u57fa\u4e8e\u98ce\u9669\u56e0\u5b50\u7684Smart Beta\u2014\u2014\u52a8\u91cf\n",
      "---\n",
      "\n",
      "- \u52a8\u91cf\u56e0\u5b50\u4e13\u6ce8\u4e8e\u5e02\u573a\u884c\u60c5\u89c4\u5f8b\uff0c\u5b9e\u8df5\u53d1\u73b0\uff0c\u53cd\u8f6c\u6548\u5e94\u5728A\u80a1\u5e02\u573a\u66f4\u660e\u663e\uff0c\u6240\u4ee5\u8fd9\u91cc\u53c8\u53ef\u4ee5\u8bf4\u6210\u662f\u53cd\u8f6c\u56e0\u5b50\n",
      "- \u9009\u53d6`\u8fc7\u53bb60\u65e5\u6536\u76ca\u3001\u8fc7\u53bb120\u6536\u76ca`\u6765\u6784\u5efa\u53cd\u8f6c\u56e0\u5b50\uff0c\u7b49\u6743\u5408\u6210"
     ]
    },
    {
     "cell_type": "strategy",
     "collapsed": false,
     "id": "FDC8206712B843618644CB6997AF1E07",
     "input": "import numpy as np\nimport pandas as pd\nstart = '2008-01-01'\nend = '2017-12-31'   # \u56de\u6d4b\u7ed3\u675f\u65f6\u95f4\nuniverse = DynamicUniverse('HS300') + DynamicUniverse('ZZ500')\nbenchmark = 'HS300'                       # \u7b56\u7565\u53c2\u8003\u6807\u51c6\nfreq = 'd'                              # \u7b56\u7565\u7c7b\u578b\uff0c'd'\u8868\u793a\u65e5\u95f4\u7b56\u7565\u4f7f\u7528\u65e5\u7ebf\u56de\u6d4b\uff0c'm'\u8868\u793a\u65e5\u5185\u7b56\u7565\u4f7f\u7528\u5206\u949f\u7ebf\u56de\u6d4b\nrefresh_rate = 10                          # \u8c03\u4ed3\u9891\u7387\n\naccounts = {\n    'fantasy_account': AccountConfig(account_type='security', capital_base=10000000)\n}\n\ndef initialize(context):                   # \u521d\u59cb\u5316\u865a\u62df\u8d26\u6237\u72b6\u6001\n    context.signal_generator = SignalGenerator(Signal('REVS60'), Signal('REVS120'))\n\ndef handle_data(context):                  # \u6bcf\u4e2a\u4ea4\u6613\u65e5\u7684\u4e70\u5165\u5356\u51fa\u6307\u4ee4\n    account = context.get_account('fantasy_account')\n    current_universe = context.get_universe(exclude_halt=True)\n    yesterday = context.previous_date.strftime('%Y-%m-%d')\n    \n    signals = context.history(current_universe, ['REVS60', 'REVS120'], 1, freq='1d', rtype='frame',style='tas')[yesterday]\n    signal1 = -standardize(winsorize(signals['REVS60']))\n    signal2 = -standardize(winsorize(signals['REVS120']))\n    signal = (0.5*signal1).add(0.5*signal2, fill_value=0.0)\n    wts = long_only(signal.to_dict(), select_type=1, top_ratio=0.2, weight_type=1, target_date=yesterday)\n    \n    # \u4ea4\u6613\u90e8\u5206\n    positions = account.get_positions()\n    sell_list = [stk for stk in positions if stk not in wts]\n    for stk in sell_list:\n        order_to(stk,0)\n\n    c = account.portfolio_value\n    change = {}\n                                               \n    for stock, w in wts.iteritems():\n        p = account.reference_price[stock]\n\n        if not np.isnan(p) and p > 0:\n            if stock in positions:\n                change[stock] = int(c * w / p) - positions[stock].amount\n            else:\n                change[stock] = int(c * w / p) - 0\n\n    for stock in sorted(change, key=change.get):\n        account.order(stock, change[stock])",
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}